Bibliographie

• AAMODT, A. et PLAZA, E. (1994). Cased-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications, 7(1):39-59.
• ABELSON, H. SUSSMAN, G. (1985). Structure and Interpretation of Computer Programs. The MIT Press, Cambridge, Ma.
• ABELSON, R. (1979). Differences between Belief and Knowledge Systems. Cognitive Science, 3:355-366.
• ABELSON, R. P. (1973). The structure of belief systems. In SCHANK et COLBY, (eds.), Computer Models of Thought and Language. Freeman, San Francisco.
• ABELSON, R. P. (1980). In defense of common sense representations of knowledge. Cognitive Science Technical Report 6, Yale University.
• ACKERMANN, E. (1994). Direct and Mediated Experience: Their Role in Learning. In LEWIS, R. et MENDELSOHN, P., (eds.), Lessons from Learning. North-Holland, Amsterdam.
• AGHA, G. (1986). Actors: A Model of Concurrent Computation in Distributed Systems. MIT Press, Cambridge.
• ALEXANDER, J. H., FREILING, M. J., SHULMAN, S. J., STALEY, J. L., REHFUSS, S., et MESSIK, S. L. (1986). Knowledge Level Engineering: Ontological Analysis. Tektronix Laboratory, Computer Research Laboratory.
• ALKER, Jr., H. R. (1974). Are there structural models of voluntaristic social action. Quality and Quantity, 8:199-246.
• ALKER, Jr., H. R. (1975). From information processing research to the sciences of human communication. Informatique et sciences humaines, 40-41.
• ALKER, Jr., H. R. (1980). Some Dynamics of Ideological Thought. MIT, mimeo.
• ALKER, Jr., H. R. (1981). From Political Cybernetics to Global modeling. In R., M. et B.M., R., (eds.), From National Developpement to Global Community. Allan and Undwin, London.
• ALKER, Jr., H. R., BENNET, J., et MEFFORD, D. (1980). Generalized Precedent Logics for Resolving Insecurity Dilemmas. International Interactions, 7:165-206.
• ALKER, Jr., H. R. et CHRISTENSEN, C. (1972). From causal modeling to artificial intelligence: the evolution of an UN peace-making simulation. MIT, Dept. of Pol. Science.
• ALKER, Jr., H. R. et GREENBERG, W. J. (1976). On simulating collective security regime alternatives. MIT, Dept. of Pol.Science., mimeo.
• ALKER, Jr., H. R. et HURWITZ, R. (1980). Resolving prisonners dilemmas, Student Manual + Teacher's Manual. APSA, Washington.
• ALKER, Jr., H. R., LEHNERT, W., et SCHNEIDER, D. K. (1985). Two reinterpretations of Toynbe's Jesus: Explorations in computational hermeneutics. Versus, special issue on narrative summarization and analogical reasoning.
• ALKER,Jr., H. R. (1983). Fairy tales and world histories: interpretive story grammars as possibilist world models. paper prepared for APSA, Chicago, Illinois.
• ALLAN, P. (1983). Crisis Bargaining and the Arms Race: A Theoretical Model. Ballinger, Cambridge, MA.
• ALLAN, P. et LUTERBACHER, U. (1992). Strategie und politisch-ökonomische Zusammenhänge, Computersimulationsmodelle der Grossmächte und der Schweiz. In ALLAN, P. et al., (eds.), Simulationen strategischer Probleme, pages 87-128. VDF, Zurich.
• ALLAN, P. et STAHEL, A. (1983). Tribal Guerilla Warfare Against a Colonial Power, Analzing the War in Afghanistan. Journal of Conflict Resolution, 27(4):590-617.
• ALLISON, G. (1971). Essence of decision. Little Brown, Boston.
• ALLPORT, G. W. (1968). Traits revisited. In ALLPORT, G., (ed.), The Person in Psychology. Boston.
• ALLPORT, G. W. et ODBERT, H. S. (1936). Trait-Names: A psychological study. Psychological Monographs, 47.
• ALTER, S. (1992). Why Persist with DSS when the Real Issue Is Improving Decision Making? In JELASSI, T., KLEIN, M. R., et MAYON-WHITE, W., (eds.), Decision Support Systems: Experiences and Expectations, Proceedings of the IFIP TC8/WG 8.3 Working Conference on Decision Support Systems, pages 215-224, Amsterdam. North-Holland.
• AMEY, L. R. (1980). System Objectives And Budgetary Control. Behavioural, Science, 25:130-139.
• ANDERSON, A., (ed.) (1964). Minds and Machines. Prentice Hall, New Jersey.
• ANDERSON, J.R.and BOYLE, C. et REISER, B. (1985). Intelligent Tutoring Systems. Science, 228:456-462.
• ANDERSON, J. R. (1975). Cognitive Psychology and its Implications. Freeman, San Francisco.
• ANDERSON, R. C. et AUSUBEL, D. P., (eds.) (1966). Readings in the Psychology of Cognition. Holt, Rinehard and Winston, New York.
• ANGEHRN, A. et DUTTA, S. (1992). Integrating Case-Based Reasoning in Multi-Critera Decision Support Systems. In JELASSI, T., KLEIN, M. R., et MAYON-WHITE, W., (eds.), Decision Support Systems: Experiences and Expectations, Proceedings of the IFIP TC8/WG 8.3 Working Conference on Decision Support Systems, pages 133-150, Amsterdam. North-Holland.
• APPELT, D. E. (1980). A Planner for Reasoning about Knowledge and Action. In Proceedings of the First Annual Conference on Artificial Intelligence, pages 131-133.
• ARBIB, M. (1972). The Metaphorical Brain, Introduction to Cybernetics as Artificial Intelligence and Brain Theory. Wiley, New York.
• ARCHBOLD, A. A. et HOBBES, J. (1981). Notes on the Analysis of Evaluative Argumentation in Text. mimeo.
• ARENS, Y., CHEE, C., HSU, C., et KNOBLOCK, C. (1993). Retrieving and Integrating Data from Multiple Information Sources. International Journal of Intelligent and Cooperative Information Systems, 2(2):127 - 158.
• ASHBY, W. (1960). Design for a Brain. Wiley, New York.
• ASHBY, W. (1962). Principles of The Self-Organizing System. In VON FOERSTER, H. et ZOPF, W., (eds.), Principles of Self-Organization. MacMillan, New York.
• AUSTIN, J. L. (1956). How to do things with words. Oxford Univ. Press, Oxford.
• AXELROD, R. (1973). Schema Theory: An Information Processing Model of, Perception and Cognition. APSR, 167:1248-67.
• AXELROD, R., (ed.) (1976). Structure of decision: the cognitive map of political elites. Princeton Univ. Press, Princeton.
• AXELROD, R. (1984). The Evolution of Cooperation. Basic Books.
• BACH, K. et HARNISCH, R. (1979). A Theory of Speech Acts. MIT-Press, Cambridge (Ma.).
• BACKMANN, C. (1970). Role theory and international relations: a commentary, and extension. International Studies Quarterly, 14:310-319.
• BADDELEY, A. (1990). Human Memory, Theory and Practice. Laurence Erlbaum, London.
• BALLMER, T. et BRENNENSTUHL, W. (1981). Speechact Classification. Springer, New York.
• BALZER, R. et al. (1980). HEARSAY III: A Domain - Independent Framework for Expert Systems.
• BARDACH, E. (1977). The implementation game : what happens after a bill becomes a law. The MIT Press, Cambridge, MA.
• BARR, A. et FEIGENBAUM, E. A., (eds.) (1982). The Handbook of Artificial Intelligence, volume I, II, II. Kaufman, Los Altos.
• BARTLETT, F. (1932). Remembering. Cambridge Press, Cambridge.
• BAUM, E. (1992). On Optimal Game Tree Propagation for Imperfect Players. In Proceedings of the Tenth National Conference on Artificial Intelligence.
• BEAUVOIS, J.-L. (1993). Cours de Psychologie, volume 2, chapter Bases des fonctionnements socio-cognitfs, pages 101-225. Dunod, Paris.
• BECHTEL, W. (1993). Currents in Connectionism. Minds and Machines, 3(2):125-153.
• BECKER, S. et SELMAN, B. (1986). An Overview of Knowledge Acquisition Methods for Expert Systems. Technical Report CSRI-184, University of Toronto, Computer Systems Research.
• BENNET, J. P. (1984). No Second Thoughts about First Use. University of Pennsylvania, Dept. of Regional Science.
• BENNET, J. P. et ALKER, H. R. J. (1977). When National Security Politics Bred Collective Insecurity: The War of The Pacific in a World Politics Simulation. In DEUTSCH, K., (ed.), Problems of World Modeling. Ballinger, Cambridge.
• BENSELER, F. et al. (1980). Autopoiesis, Communication and Society: The Theory of Autopoietic Systems in the Social Sciences. ??, Frankfurt.
• BERGER, P. L. (1963). Invitation to sociology, A humanistic perspective. Doubleday, Garden City.
• BERLINSKI, D. (1978). On Systems Analysis. The M.I.T. Press, Cambridge.
• BERTANLANFFY von, L. (1968). General Systems Theory. Braziller, New York, revised edition edition.
• BICKHARD, M. H. (1993). Representational Content in Humans and Machines. Journal of Experimental and Theoretical Artificial Intelligence, 5:285-333.
• BICKHARD, M. H. et TERVEEN, L. (1994). Impasse and Solution, Foundational Issues in Artificial Intelligence and Cognitive Science. in press.
• BIRNBAUM et al. (1980). Towards a AI Model of Argumentation. In Proceedings of the First Annual Conference on Artificial Intelligence, pages 313-315, Stanford University.
• BLOCK, N., (ed.) (1980). Readings in philosophy of psychology, volume I. Harvard Univ. Press, Cambridge.
• BLUMER, H. (1967). Symbolic interactionism, perspective and method. Prenctice Hall, Englewood Cliffs.
• BOBROW, D. et COLLINS, A., (eds.) (1975). Representation and Understanding: Studies in Cognitive Science. Academic Press, New York.
• BODEN, M. (1977). Artificial Intelligence and Natural Man. Harvester Press, Hassocks.
• BODEN, M. (1978). Artificial Intelligence and Piagetien Theory. Synthese, 38:389-414.
• BODEN, M. A. (1972). Purposive Explanation in Psychology. Harvard University Press, Cambridge.
• BODILY, S. E. (1985). Modern decision making: a guide to modeling with decision support systems. McGraw-Hill, New York.
• BODNER, D., NARAYANAN, S., SREEKANTH, U., GOVINDARAJ, T., McGINNIS, L., et MITCHEL, C. (1994). Analysis of Discrete Manufacturing Systems for Developing Object-Oriented Simulation Models. Georgia Institute of Technology, submitted to the Industrial Engineering Research Conference, Atlanta, Georgia.
• BONHAM, G. et al. (1979). The october war: changes in cognitive orientation towards the middle east conflict. International studies quarterly, 23:3-44.
• BONHAM, G. et SHAPIRO, M. (1977). Thought and action in foreign policy. Birkhaeuser, Basel.
• BONHAM, G., SHAPIRO, M., et NOZICKA, G. (1976). A cognitive process model of foreign policy decision making. Simulation and gaming, 7:123-152.
• BORING, E. (1946). Mind and Mechanism. American Journal of Psychology, 2.
• BOSSEL, H. (1977). Modeling of the Cognitive Processes Determining Nonroutine Behavior. In BOSSEL, H., (ed.), Concepts and Tools of Computer-assisted Policy Analysis. Birkhauser, Interdisciplinary Systems Research, Basel.
• BOUDON, R. (1979). La logique du social: Introduction à l'analyse sociologique. Hachette, Paris.
• BOURNE, L. (1966). Human Conceptual Behavior. Allyn, Boston.
• BRACHMAN, R. et al. (1983). What are expert systems? In HAYES-ROTH, F., WATERMAN, D., et LENAT, D., (eds.), Building Expert Systems. Addison-Wesley, New York.
• BRAMS, S. J. (1975). Game Theory and Politics. The Free Press, New York.
• BRAYBROOKE, D. et LINDBLOM, C. E. (1970). A strategy of decision : policy evaluation as a social process. Free Press, New York.
• BREMER, S. A. (1987). The GLOBUS Model: Computer Simulation of Worldwide Political and Economic Developments. Westview, Boulder.
• BRENNENSTUHL, W. (1975). Handlungstheorie und Handlungslogik. Scriptor, Kronberg.
• BREUKER, J. et WIELINGA, B. (1985). KADS: Structured Knowledge Acquisition for Expert Systems. In 5ièmes Journées Internationales, Les systèmes experts et leurs applications, pages 887-900. Agence de l'informatique.
• BRODIN, K. (1972). Belief systems, doctrines, and foreign policy. Cooperation and Conflict, 7:97-112.
• BROOKS, R. (1991). Intelligence Without Reason. In IJCAI, pages 569-595.
• BROWN, R. H. (1976). Social Theory as Metaphor. Theory and Society, pages 169-196.
• BROWN, S. R. et TAYLOR, R. W. (1972). Perspective in Concept Formation. Social Science Quarterly, 52:852-860.
• BRUCE, B. (1980). Analysis of Interacting Plans as Guide to the Understanding of Story Structure. Poetics, 9:295-311.
• BRUCKMAN, A. (1993). Programming for Fun: MUDs as a Context for Collaborative Learning. MIT Media Lab, working paper.
• BRUCKMAN, A. et RESNICK, M. (1993). Virtual Professional Community: Results from the MediaMOO Project. In Third Internation Conference on Cyberspace, Austin, Texas.
• BUCHANAN et al. (1983). Constructing an expert system. In HAYES-ROTH, F., WATERMAN, D., et LENAT, D., (eds.), Building Expert Systems. Addison-Wesley, New York.
• BUCHANAN, B. et FEIGENBAUM, E. (1978). DENDRAL and META-DENDRAL:Their Applications Dimensions. Journal of Artificial Intelligence, 11:5-24.
• BUCHANAN, B. et HEADRICK, T. (1970). Some Speculation About Artificial Intelligence and Legal Reasoning. Stanford Law Review, 23.
• BUCHANAN, W. et CANTRIL, H. (1953). How nations see each other. Univ of Illinois Press, Urbana.
• BUCKLEY, W. (1966). Sociology And Modern Systems Theory. Prentice Hall, New York.
• BUI, T. (1992). Building DSS for Negotiators: A Three-Step Design Process. IEEE, 1.
• BUNDY, A. (1978). Artificial Intelligence: An Introductory Course. Edinburg Univ. Press, Edinburg.
• BURKE, K. (1966). Language as symbolic action. Essays on life, literature and method. Univ. of California Press, Berkeley.
• BURKE, K. (1969). A Grammar of Motives. University of California Press, Berkeley.
• BURKE, K. (1969/50). A Rhetoric of Motives. University of California Press, Berkeley.
• BUSEMEYER, J. R. et MYUNG, I. J. (1992). An Adaptive Approach to Human Decision Making: Learning Theory, Decision Theory, and Human Performance. Journal of Experimental Psychology: General, 121(2):177-194.
• BUSSHOFF, H. (1976). Der politische Code. KZFSS, pages 335-351.
• CAMMARATA, S., GATES, B., et ROTHENBERG, J. (1988). Dependencies, Demons, and Graphical Interfaces in the ROSS Language. Technical Report N-2589-DARPA, The RAND Corporation.
• CANTOR, M. W. (1979). Prototypes in person perception. In BERKOWITZ, (ed.), Advances in Experimental Socialpsychology. Academic Press, New York.
• CARBONELL, J. F. (1981a). Towards a Computational Model of Problemsolving and Learning by Analogy. Draft 2, CMU, mimeo.
• CARBONELL, J. G. (1979). POLITICS: Automated Ideological Reasoning. Cognitive Science, 2:355-366.
• CARBONELL, J. G. (1981b). POLITICS. In SCHANK, R. C. et RIESBECK, C., (eds.), Inside Computer Understanding. Erlbaum, Hillsdale.
• CARBONELL, J. G. (1981c). Subjective Understanding, Computer Models of Belief Systems. UMI Research Press, Ann Arbor.
• CARLSON, J. G. et MISSHAUK, M. J. (1972). Introduction to gaming: management decision simulations. Wiley, New York.
• CARRIER, H. D. et WALLACE, W. A. (1989). An Epistemological View of Decision-Aid Technology with Emphasis on Expert Systems. IEEE Transactions on Systems, Man, and Cybernetics, 19(5):1021-1029.
• CHANDRASEKARAN, B. (1987). Towards a Functional Architecture for Intelligence Based on Generic Information Processing Tasks. In Proceedings of the Tenth International Conference on Artificial Intelligence, pages 1183-1192, Milan, Italy.
• CHARNIAK, E. et McDERMOTT, D. (1985). Introducution to Artificial Intelligence. Addison-Wesley, Reading, MA.
• CHARNIAK, E., RIESBECK, C., et McDERMOTT, D. (1980). Artificial Intelligence Programming. Erlbaum, Hillsdale.
• CHO, T. H. (1993). A Hierarchical, Modular Simulation Environment for Flexbile Manufacturing System Modeling. PhD thesis, The University of Arizona.
• CHOMSKI, N. (1959). Review of 'Verbal Behavior' of B.F. Skinner, New York, Appleton, Centory-Crofts. Language, 35:26-58.
• CHOMSKI, N. (1979). Human language and other semiotic systems. Semiotica, 25:31-44.
• CIAMPI, C. (1983). Artificial Intelligence and Legal Information Systems. Elsevier, New York.
• CICOUREL, A. (1964). Method and measurement in sociology. The Free Press, New York.
• CLANCEY, William, J. (1983). The Epistemology of a Rule-Based Expert System - a Framework for Explanantion. Artificial Intelligence, 20:215-251.
• CLANCEY, William, J. (1985). Heuristic Classification. Technical Report KSL 85-5, Stanford Knowledge Systems Laboratory. also appeared in Artificial Intelligence 27 (1985) pp.289-350.
• CLANCEY, W. J. (1992). The Frame of Reference Problem in the Design of Intelligent Machines. In Lehn, K., (ed.), Architectures for Intelligence, Proceedings of the 22nd Carnegie Symposium on Cognition, pages 357-423. Erlbaum, Hillsdale (NJ).
• CLANCEY, W. J. (1993). Guidon-Manage Revisited: A Socio-Technical Systems Approach. Journal of Artificial Intelligence in Education, 4(1):5-34.
• CLIPPINGER, J. (1977). Meaning and Discourse, A Computational Model of Psychoanalytic Speech and Cognition. John Hopkins University Press, Baltimore.
• COBB, R. (1973). The belief-systems perspective: an assessment of a framework. Journal of politics, 35:121-53.
• COHEN, P., MORGAN, J., et POLLAK, M. (1990). Intentions in Communication. MIT Press, Cambridge, MA.
• COHEN, P. R. (1979). Elements of a plan-based theory of speech-acts. Cognitive science, 3:177-212.
• COLBY, K. (1973). Simulations of Belief Systems. In SCHANK, R. C. et COLBY, K., (eds.), Computer models of thought and language. Freeman, San Francisco.
• COLBY, K. M. (1974). Ten Criticisms of Parry. MEMO-AIM 244, Stanford.
• COLBY, K. M. (1981). Modeling a paranoid mind, (with commentary). The Behavioral and Brain Sciences, 4:515-560.
• COLLINS, A. et BROWN, J. (1988). The Computer as a Tool for Learning through Reflection. In MANDL, H. et LESGOLD, A., (eds.), Learning Issues for Intelligent Tutoring Systems. Springer-Verlag, New York.
• COOK, S., HAFNER, C., McCarty, L., MELDMAN, J., PETERSON, M., SPROWL, J., SRIDHARAN, N., et WATERMAN, D. (1981). The Applications of Artificial Intelligence to Law: A Survey of Six Current Projects. In Proceedings of the AFIPS National Computer Conference, pages 689-96. AFIPS Press.
• CORTES, F., PRZEWORSKI, A., et SPRAGUE, J. (1974). Systems Analysis for Social Scientists. Wiley, New York.
• COVRIGARU, A. A. et LINDSAY, R. K. (1991). Deterministic Autonomous Systems. AI Magazine, 12(3):110-117.
• COWAN, N. (1988). Evolving conceptions of memory storage, selective attention and their mutual constraints with the human information processing system. Psychological Bulletin, 104:163-191.
• CRECINE, J. P. (1969). Governmental Problem-Solving, A Computer Simulation of Municipal Budgeting. Rand McNally, Chicago.
• CROOKALL87, D. et al., (eds.) (1987). Simulation-gaming in the late 1980s : proceedings of the International Simulation and Gaming Association's 17th International Conference, New York. Pergamon Press.
• CROZIER, M. et FRIEDBERG, E. (1977). L'acteur et le système, Seuil, Paris.
• CROZIER, Michel (1990). L'évaluation des performances pédagogiques des établissements
• universitaires. La documentation française, Paris.
• CUTLER, R. M. (1982). The formation of soviet foreign policy: organizational and cognitive perspectives. World Politics, 34.
• DALLMAYER, (ed.) (1977). Understanding and Social Inquiry,(Anthology). Notre Dame Press, Indiana.
• DAMPNEY, C., JOHNSON, M. S., et DEUBLE, P. (1992). Taming Large Complex Information Systems. In Complex Systems 92, Australian National University, Amsterdam. IOS Press. ftp://life.anu.edu.au/pub/complex_systems/anu92/papers.
• DAVIS, R. (1982). Expert Systems: Where are we? And where do we go from here? The AI Magazine, Spring:3-22.
• De BEAUGRANDE, R. (1980). Text, Discourse and Process, Towards a Multidisciplinary Science of Texts, volume Advances in Discourse Processes vol.4. Ablex, Norwood, N.J.
• DE BEAUGRANDE, R. et COLBY, B. N. (1979). Narrative Models of Action and Interaction. Cognitive Science, 3:43-66.
• DE BEAUGRANDE, R. et DRESSLER, W. (1981). Introduction to Textlinguistics. Longman, New York.
• DE JONG, G. (1986). An Approach to Learning from Observation. In MICHALSKI, R., CARBONELL, J., et MITCHELL, T., (eds.), Machine Learning, An Artificial Intelligence Approach, volume 2. Morgan Kaufmann, Los Altos (CA).
• de JONG, T., de HOOG, R., et de VRIES, F. (1993). Coping With Complex Environments: The Effects of Providing Overviews and a Transparent Interface on Learning With a Computer Simulation. International Journal of Man-Machine Studies, 39(4):621-639.
• DE RIVERA, J. H. (1968). The psychological dimension of foreign policy. Merril, Columbus.
• DELLEY, J.-D., DERIVAZ, R., MADER, L., MORAND, C.-A., et SCHNEIDER, D. (1982). Le Droit en action. Georgi, St-Saphorin.
• DENNET, Daniel, C. (1981). Intentional Systems. In HAUGELAND, J., (ed.), Mind Design. MIT Press, Cambridge,MA.
• DENNET, D. (1965). Action,Reason, and Purpose. The Journal of Philosophy, 62:85-96.
• DENNET, D. (1969). Content and Consciousness. Humanities Press, New York.
• DENNET, D. C. (1979). Artificial Intelligence as Philosphy and as Psychology. In RINGLE, M., (ed.), Philosophical Perspectives in Artificial Intelligence. Humanities Press, Atlantic Highlands.
• DEUTSCH, K. W. (1966). The Nerves of Government. The Free Press, New York.
• DHAR, V. et CROKER, A. (1988). Knowledge-Based Decision Support in Business: Issues and a Solution. IEEE Expert, 3(1):53-62.
• DI RENZO, G., (ed.) (1974). Personality and Politics. Anchor, New York.
• DILLENBOURG, P. (1992). The Computer as Constructorium. In MOYSE, R. et ELSOM-COOK, M., (eds.), Knowledge Negotiation. Academic Press, London.
• DILLENBOURG, P., HILARIO, M., MENDELSOHN, P., et SCHNEIDER, D.and BORCIC, B. (1993). De la généralisabilité d'un environnement d'apprentissage. In BARON, M., GRAS, R., et NICAUX, J., (eds.), Environnements Interactifs d'Apprentissage avec Ordinateur, pages 159-168. Eyrolles, Paris.
• DILLENBOURG, P., SCHNEIDER, D., et MENDELSOHN, P. (1994). The distribution of pedagogical roles in a Multiagent Learning Environment. In LEWIS, R. et MENDELSOHN, P., (eds.), Lessons from Learning, Proceedings of the IFIP TC3/WG3.3 Working Conference on Lessons from Learning, Amsterdam. North-Holland.
• DOERNER, D. (1976). Problemloesen als Informationsverarbeitung. Kohlhammer, Suttgart.
• DOERNER, D. (1987a). On the Logic of Failure: Thinking, Planning and Decision Making in Uncertainty and Complexity. Memorandum 54, Lehrstuhl Psychologie II, Universität Bamberg.
• DOERNER, D. (1987b). Von der Logik des Misslingens. Denken, Planen und Entscheiden in Unbestimmtheit und Komplexität. Memorandum 54, Lehrstuhl Psychologie II, Universität Bamberg.
• DOERNER, D., KREUZIG, H., REITHER, F., et STAEUDEL, T. (1983). Lohhausen. Vom Umgang mit Unbestimmtheit und Komplexität. Huber, Bern.
• DOERNER, D., SCHAUB, H., STAEUDEL, T., et STROHSCHNEIDER, S. (1987). Ein System zur Handlungsregulation oder Die Interaktion von Emotion, Kognition und Motivation. Memorandum 57, Lehrstuhl Psychologie II, Universität Bamberg.
• DOERNER, D., STAEUDEL, T., et STROHSCHNEIDER, S. (1986). Moro - Programmdokumentation. Memorandum 23, Lehrstuhl Psychologie II, Universität Bamberg.
• DOWNS, A. (1957). An Economic Theory of Democracy. Harper and Row, New York.
• DREYFUSS, H. (1972). What Computers Can't Do. Harper and Row, New York.
• EBBINGHAUS, H. (1885). Ueber das Gedächtnis: Untersuchungen zur experimentellen Psychologie. Duncker und Humbolt, Leipzig.
• EDMONDS, E., O'BRIEN, S. M., et BAYLEY, T. (1993). Constructiong End-User Knowledge Manipulation Systems. International Journal of Man-Machine Studies, 38:51-70.
• EDWARDS, W. et TVERSKY, A., (eds.) (1967). Decision making: selected readings. Penguin, Harmondsworth.
• ERICSSON, A. K. et SIMON, H. A. (1983). PROTOCAL ANALYSIS, Verbal Reports as Data. The MIT Press, Cambridge, Ma.
• ESHELMAN, L. et McDERMOTT, J. (1986). MOLE: A Knowledge Acquisition Tool That Uses Its Head. Carnegie Mellon University ??
• ETHEREDGE, L. S. (1979). Government Learning, An Overview. M.I.T., Center for International Studies.
• ETZIONI, A. (1968). The active society, a theory of societal and political processes. The Free Press, New York.
• EULAU, H. (1963). The behavioral persuasion in politics. Random House, New York.
• EVANS, J., OVER, D. E., et MANKTELOW, K. I. (1993). Reasoning, Decision Making and Rationality. Cognition, 49(1&2):165-18.
• EVARD, R. (1993). Collaborative Networked Communication: MUDs as Systems Tools. In LISA, Monterey, CA.
• FALKOWSKY, L. (1979a). Psychological Models and Systemic Outcomes. In FALKOWSKY, L., (ed.), Psychological models in international politics. Westview, Boulder.
• FALKOWSKY, L., (ed.) (1979b). Psychological models in international politics. Westview, Boulder.
• FARAG, W. M. (1989). SEIF: A System for Learning Adaptable Actions. Technical report, AI Laboratory, The University of Michigan.
• FEIGENBAUM, E. et FELDMAN, J. (1963). Computers and Thought. McGraw-Hill, New York.
• FELDMAN, J. A. et SPROULL, R. F. (1977). Decision Theory and Artificial Intelligence II: The hungry monkey. Cognitive Science, 1(2):158-192.
• FESTINGER, L. (1964). Conflict, decision, and dissonance. Stanford University Press, Stanford.
• FIKES, R. E. (1982). A Commitment-based frameword for describing informal cooperative work. Cognitive Science, 6:331-347.
• FIKES, R. E., CUTKOSKY, M., GRUBER, T., et Van BALEN, J. (1991). Knowledge Sharing Technology. Technical report, Knowledge Systems Laboratory, Stanford University.
• FIKES, R. E. et NILSSON, N. J. (1971). STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving. Artificial Intelligence, 2:189-208.
• FIKSEL, J. et HAYES-ROTH, F. (1989). Knowledge Systems for Planning Support. IEEE Expert, 4(3):16-24.
• FILLMORE, C. (1986). The Case for Case. In BACH, E. et HARMS, R., (eds.), Universals in Linguistic Theory. Holt,Rinehart and Winston.
• FINDLER, N., (ed.) (1978). Associative Networks: The Representation and Use of Knowledge in Computers. Academic Press, New York.
• FINEGAN, A. (1992). Soft Systems Methodology: An Alternative Approach to Knowledge Elicitation in Complex and Poorly Defined Systems. In Complex Systems 92, Australian National University, Amsterdam. IOS Press. ftp://life.anu.edu.au/pub/complex_systems/anu92/papers.
• FINGER, M. et SCHNEIDER, D. K. (1978). Les possibilités et les limites d'une sociologie de la communication. Univ. de Genève, Dept. de science politique, travail de séminaire.
• FINLAY, D. et al., (eds.) (1967). Enemies in Politics. Rand McNally, Chicago.
• FLORES, C. F. et WINOGRAD, T. (1978). Understanding cognition as understanding. mimeo, Stanford.
• FODOR, J. (1980). Methodological Solipsism Considered as a Research Strategy in Cognitive Psychology (with peer commentary). The Behavioral and Brain Sciences, 3:63-109.
• FODOR, J. (1983). The Modularity of Mind. M.I.T. Press, Cambridge.
• FODOR, J. (1995). The Language of Thought. Harward University Press, Cambridge (Ma).
• FODOR, J. et PYLYSHYN, Z. (1988). Connectionism and Cognitive Architecture: A Critical Analysis. Cognition, 28.
• FOERSTER von, H. et ZOPF,Jr., G., (eds.) (1962). Principles of Self-Organization, Transactions of The University of Illinois Symposium on Self-Organization, 1961, New York. MacMillan.
• FORRESTER, J. W. (1973). World Dynamics. MIT Press, Cambridge, 2 edition.
• FRANK, M. P. (1984). Advances in Decision Theoretic AI: Limited Rationality and Abstract Search. Master's thesis, Department of Electrical Engineering and Computer Science, MIT.
• FREGE, G. (1897). Begriffsschrift, eine der arithmetischen nachgebildeten Formelsprache des reinen Denkens. Halle.
• FREI, D. et al. (1978). Weltbild und Aussenpolitik - Untersuchung zur aussenpolitischen Meinungsbildung im schweizerischen Parlament. Nationalfondsprojekt.
• FRIEDBERG, E. (1993). Le pouvoir et la règle. Dynamiques de l'action organisée. Seuil, Paris.
• FREILING, M., ALEXANDER, J., Messik, S., REHFUSS, S., et Sherri, S. (1985). Starting a Knowledge Engineering Project: A Step-by-Step Approach. The AI Magazine, pages 150-164.
• GALLHOFER, I. N. et SARIS, W. E. (1979). An Analysis of the Argumentation of Decision Makers Using Decision Trees. Quality and Quantity, 16:411-430.
• GALLHOFER, I. N. et SARIS, W. E. (1983). A Decision Theoretical Analysis of Decisions of the Dutch Government in Exile During World War II. Historical Social Research, Quantum Information, 26:3-17.
• GALLHOFER, I. N. et SARIS, W. E. (1989a). Decision Tres and Decision Rules in Politics: The Empirical Decision Analysis Procedure. In MONTGOMERY, H. et SVENSON, O., (eds.), Process and Structure in Human Decision Making, pages 293-311. John Wiley.
• GALLHOFER, I. N. et SARIS, W. E. (1989b). Three methods for analyzing decision making using written documents. In MONTGOMERY, H. et SVENSON, O., (eds.), Process and Structure in Human Decision Making, pages 99-123. John Wiley.
• GAUPP, P. et al. (1979). Die Methode des "cognitive mapping" Ihre Anwendung auf Informationen ueber die internationale Umwelt. Kleine Studien zur Politischen Wissenschaft 154, Universität Zürich.
• GEERTZ, C. (1973). The interpretation of cultures. Basic Books, New York.
• GEORGE, A. (1969a). Case Studies and Theory Development: The Method of Structured Focused Comparison. In LAUREN, P., (ed.), Diplomacy: New Approaches in History, Theory and Politics. Free Press, New York.
• GEORGE, A. (1969b). The "operational code": a neglected approach to the study of political leaders and decision making. International studies quarterly, 13.
• GEORGE, A. (1979). The causal nexus between cognitive beliefs and decision-making behavior: the "operational code" belief system. In FALKOWSKI, L., (ed.), Psychological models in international politics. Westview, Boulder.
• GERNER, D. J., SCHRODT, P. A., FRANCISCO, R. A., et L., W. J. (1994). Machine Coding of Event Data Using Regional and International Sources. International Studies Quarterly, 38:91-119.
• GOFFMAN, E. (1959). The Presentation of Self in Everyday Life. Doubleday, Garden City (N.Y.).
• GOFFMAN, E. (1967). Interaction Ritual; Essays on Face-to-Face Behavior. Anchor Books, Garden City (N.Y.).
• GOLDSTEIN, I. et PAPERT, S. (1977). AI, Language and the Study of Knowledge. Cognitive Science, 1:84-123.
• GORDON, R. L. (1956/57). Dimensions of the depth interview. American Journal of Sociology, pages 158-164.
• GRELON, A. (1978). Interviewer ? Langage et Société, 4:41-81.
• GRIZE, J.-B. (1976). Matériaux pour une logique naturelle. Travaux du Centre de Recherches Sémiologiques 29, Université de Neuchatel, Neuchatel.
• GROSS-STEIN, J. et TANTER, R. (1967). Rational Decision Making. Israeli's Security Choices. Ohio State University Press.
• GRUSKY, O. et MILLER, G. A., (eds.) (1981). The Sociology of Organizations. The Free Press, New York.
• GUETZKOW, H. (1962). Inter-Nation Simulation: An Example of a Self-Organizing System. In YOVITS, M. C., JACOBI, G. T., et GOLDSTEIN, G. D., (eds.), Conference on Self-Organizing Systems,Chicago, 1962. Spartan, Washington, D.C.
• GUHA, R. et LENAT, Douglas, B. (1990). Cyc: A Mid-Term Report. AI Magazine, 11(3).
• HABERMAS, J. (1981). Theorie des kommunikativen Handelns, Zur Kritik der funktionalistischen Vernunft, volume I + II. Suhrkamp, Frankfurt.
• HABERMAS, J. (1984). Vorstudien und Ergänzungen sur Theorie des kommunikativen Handelns. Suhrkamp, Frankfurt.
• HAGEN, J. J. (1974). Rationales Entscheiden. Fink, UTB, Muenchen.
• HANCOCK, P. (1992). On the Future of Hybrid Human-Machine Systems. In WISE, J., HOPKIN, V., et STAGER, P., (eds.), Vertification and Validation of Complex Systems: Human Factors, volume 10, pages 61-85. NATO ASI Series F: Computer and Systems Sciences.
• HARMON, P. et KING, D. (1985). Expert Systems. Wiley, New York.
• HARNAD, S. (1990). The Symbol Grounding Problem. Physica D, 42:335-346.
• HARRE, R. (1980). Social Being, A Theory for Social Psychology. Rowman and Littlefield, Totowa (New Jersey).
• HARRE, R. et SECORD, P. (1978). The Explanation of Social Behavior. ??, London.
• HART, A. (1986). Knowledge Acquisition for Expert Systems. Kogan Page, London.
• HAUGELAND, J. (1978). The nature and plausibility of cognitivism (with peer commentary). The Behavioral and Brain Sciences, 2:215-260.
• HAUGELAND, J., (ed.) (1981). Mind Design, Philosophy, Psychology, Artificial Intelligence. The MIT-Press, Cambridge (Ma).
• HAWTON, M. B. (1974). Essentials of a Self-Organizing System. Cybernetica, 17:85-123.
• HAYES, A. C. (1977). A Semi-formal Explication of Talcott Parsons Theory of Action. Sociological Inquiry, 50:39-56.
• HAYES-ROTH, B. et HAYES-ROTH, F. (1979). A cognitive model of planning. Cognitive Science, 3:275-310.
• HAYES-ROTH, F., WATERMAN, D. A., et LENAT, D. B., (eds.) (1983). Building Expert Systems. Addison-Wesley, Reading.
• HEARN, F. (1975). The Dialectical Uses of Ideal-Types. Theory and Society.
• HEIDER, F. (1958). The Psychology of Interpersonal Relations. Wiley, New York.
• HERADSTVEIT, D. et NARVESEN, O. (1978). Psychological constraints on decision making: A discussion of cognitive approaches: operational code and cognitive map. Cooperation and Conflict, 13:77-92.
• HERMANN, M. (1977). A Psychological examination of political leaders. Free Press, New York.
• HILL, W. C. (1989). The mind at AI: Horseless Carriage to Clock. AI Magazine, 10(summer).
• HINTON, G. (1989). Connectionist Learning Procedures. Artificial Intelligence, 40.
• HOFMANN, H. F., PFEIFER, R., et VINKHUYZEN, E. (1993). Situated Software Design. AI Lab, University of Zurich. Article submitted to the Fifth International Conference on Software Engineering and Knowledge Engineering.
• HOFSTADTER, D. (1980). Godel, Escher, Bach, An Eternal Golden Brand. Vintage Books, New York.
• HOLSTI, O. R. (1977). The 'operational code' as an approach to the analysis of belief systems. Duke University.
• HORAN, J. (1979). Counseling for Effective Decision Making. Duxbury Press, North Scituate, MA.
• HUBER, O. (1992). Entscheiden als Problemlösen. Hans Huber, Bern.
• HÜBNER, K. (1983). Critique of Scientific Reason. University of Chicago Press, Chicago.
• HUDSON, V. (1991). Artificial Intelligence and International Politics. Westview Press.
• HUERLIMANN, W. (1981). Methodenkatalog, Ein systematisches Inventar von ueber 3000 Problemloesungsmethoden. Peter Lang, Bern.
• HULL, C. (1952). A behavior system. Yale University Press, New Haven.
• HUSSY, W. (1984). Denkpsychologie, Eine Lehrbuch, volume 1. Kohlhammer, Stuttgart.
• INGENSCHAY, D. (1980). 'Sekundaere Konstruktionen', Ueberlegungen zum Verhaeltnis von Drama und Handlungstheorie. Poetica, 12:443-463.
• IntelliCorp (1986). The SimKit System, 1.1. for kee version 3.0 edition.
• JACKSON, P. (1986). Introduction to Expert Systems. Addison-Wesley, Wokingham, GB.
• JACOB, V. S. et PIRKUL, H. (1992). Organizational Decision Support Systems. International Journal of Man-Machine Studies, 36(6):817-832.
• JAMES, W. (1892). Psychology. Henry Holt, New York.
• JANTSCH, E. (1975). Design for Evolution, Self-Organization and Planning in the Life of Human Systems. Braziller, New York.
• JANTSCH, E. (1980). The Unifying Paradigm Behind Autopoesis, Dissipative Structures, Hyper- And Ultra-Cycles. In ZELANY, M., (ed.), Autopoiesis, dissipative structures, and social orders. Westview Press, Boulder.
• JELASSI, T., KLEIN, M. R., et MAYON-WHITE, W., (eds.) (1992). Decision Support Systems: Experiences and Expectations, Proceedings of the IFIP TC8/WG 8.3 Working Conference on Decision Support Systems, Amsterdam. North-Holland.
• JERVIS, R. (1976). Perception and misperception in international conflicts. Princeton University Press, Princeton, N.J.
• JOB, B. L. et JOHNSON, D. (1991). UNCLESAM: The Application of a Rule-Based Model of U.S. Foreign Policy Making. In HUDSON, V., (ed.), Artificial Intelligence and International Politics. Westview Press.
• JOHNSON-LAIRD, P. N. et SHAFIR, E. (1993). The Interaction Between Reasoning and Decision Making: An Introduction. Cognition, 49(1&2):1-9.
• JOSEPH, G.-M. et PATEL, V. (1986). Specificity of Expertise in Clinical Reasoning. In Program of the Eighth Annual Conference of the Cognitive Science Society, pages 331-345, Hillsdale, NJ. Lawrence Erlbaum.
• KAHNEMAN, D. et TVERSKY, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47:263-91.
• KAHNEMAN, D. et TVERSKY, A. (1982). The Simulation Heuristic. In KAHNEMAN, D., SLOVIC, P., et TVERSKY, A., (eds.), Judgment under uncertainty: Heuristics and biases. Cambridge University Press.
• KANDEL, L. (1972). Réflexions sur l'usage de l'entretien, notamment non directif, et sur les études d'opinion. Epistémologie sociologique, 13:25-46.
• KARLSSON, G. (1987). A Phenomenological Psychological Method: Theoretical Foundations and Empirical Application in the Field of Decision Making and Choice. Akademitryck, Stockholm.
• KARLSSON, G. (1989). Rules and Strategies in Decision Making: A Critical Analysis from a Phenomenological Perspective. In MONTGOMERY, H. et SVENSON, O., (eds.), Process and Structure in Human Decision Making, pages 293-311. John Wiley.
• KARPATSCHOFF, B. (1982). Artificial Intelligence or Artificial Significance. Journal of Pragmatics, 6:293-304.
• KEARSLEY, G. (1987). Artificial Intelligence and Instruction, Applications and Methods. Addison-Wesley, Reading.
• KEEN, P. G. (1986). Decision Support Systems: The Next Decade. In McLEAN, E. R. et SOL, H. G., (eds.), Decision Support Systems: A Decade in Perspective, Proceedings of the IFIP WG 8.3 Conference on Decision Support Systems, pages 215-224, Amsterdam. North-Holland.
• KEEN, P. G. et MORTON, S. M. (1978). Decision Support Systems: An Organizational Perspective. Addison-Wesley, Reading.
• KIBLER, D. et HALL, Roger, P. (1985). A Model of Acquiring Problem Solving Expertise. In Proceedings of the Seventh Annual Conference of the Cognitive Science Society, pages 303-307.
• KLAHR, P. (1984). TWIRL: Tactical Warfare in the ROSS Language. Technical Report R-3158-AF, The RAND Corporation.
• KLAHR, P. (1986a). Expressibility in ROSS: An Object-oriented Simulation System. In AI APPLIED TO SIMULATION: Proceedings of the European Conference at the University of Ghent, pages 136-139, San Diego. Society for Computer Simulation.
• KLAHR, P. et WATERMAN, D. (1986). Expert Systems: Techniques, Tools, and Applications. Addison-Wesley, Reading.
• KLAHR, P. e. a. (1982). SWIRL: Simulating Warfare in the ROSS Language. Technical Report N-1885-AF, The RAND Corporation.
• KLAHR, P. e. a. (1986b). Twirl: Tactical Warfare in the Ross Language. In KLAHR, P. et WATERMAN, D., (eds.), Expert Systems: Techniques, Tools, and Applications, pages 70-91. Addison-Wesley, Reading.
• KLEIN, G. et CALDERWOOD, R. (1988). How Do People Use Analogues to Make Decisions? In KOLODNER, J., (ed.), Proceedings of the DARPA Workshop on Case-Based Reasoning, volume 1, pages 209-223, San Mateo, CA. Morgan Kaufman.
• KLEIN, G. A. et CALDERWOOD, R. (1991). Decision Models: Some Lessons From the Field. IEEE Transactions on Systems, Man, and Cybernetics, 21(5):1018-1026.
• KLEINMUNTZ, D. N. (1987). Human Decision Processes: Heuristics and Task Structure. In HANCOCK, P. A., (ed.), Human Factors Psychology. North-Holland, Amsterdam.
• KLINE, Paul, J. et DOLINS, Steven, B. (1986). Problem Features that Influence the Design of Expert Systems. Texas Instruments, AI Laboratory ??
• KLINEBERG, O. (1964). The human dimension in international relations. Holt, New York.
• KLINKER, G. (1993). Special Issue: Current Issues in Knowledge Modelling, volume 5 of Knowledge Acquisition. Academic Press, New York.
• KLIX, F., (ed.) (1979). Human and Artificial Intelligence. North-Holland, Amsterdam.
• KOLODNER, J. L. (1991). Improving Human Decision Making through Case-Based Decision. AI Magazine, 12(2):52-68.
• KOLODNER, J. L. (1992). An introduction to Case-Based Reasoning. Artificial Intelligence, 6(1):3-34.
• KOLODNER, J. L. (1993). Cased-Based Reasoning. Morgan Kaufman.
• KONOLIGE, K. et NILSSON, N. J. (1980). Multiple-agent planning systems. In Proceedings of the First Annual Conference on Artificial Intelligence, pages 138-141.
• KORHONEN, P., LEWANDOWSKI, A., et WALLENIUS, J., (eds.) (1991). Multiple criteria decision support : proceedings of the International Workshop held in Helsinki, Finland, August 7-11, 1989, Berlin. Springer.
• KORNFELD, W. A. (1980). A synthesis of language ideas for AI control structures. AI Working Paper 201, M.I.T., AI Lab.
• KOWALSKI, R. (1979). Logic for Problem Solving. North-Holland, Amsterdam.
• KREUTZER, W. (1987). A Modeller's Workbench: Experiments in Object-Oriented Simulation. In Bézivin, J., Hullot, J.-M., Cointe, P., et Lieberman, H., (eds.), Proceedings ECOOP '87, LNCS 276, pages 203-212, Paris, France. Springer Verlag.
• KRUMMENACHER, H. (1981). Internationale Normen un einzelstaatliches Krisenverhalten. Kleine Studien zur Politischen Wissenschaft 203-204, Universität Zürich.
• KUHN, T. S. (1975). The structure of scientific revolutions. University of Chicago Press, Chicago, 2 edition.
• KUIPERS, B. et BYUN, Y. (1991). A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations. Robotics and Autonomous Systems, 9:47-63.
• KUIPERS, B., MOSKOWITZ, A. J., et KASSIRER, J. P. (1988). Critical Decisions under Uncertainty: Representation and Structure. Cognitive Science, 12(2):177-210.
• KUMMER, W. (1975). Grundlagen der Texttheorie: zur handlungstheoretischen Begruendung einer materialistischen Sprachwissenschaft. Rowohlt, Hamburg.
• LACY, M. E. (1989). Artificial Laboratories. AI Magazine, 10(summer).
• LANE, R. (1973). Patterns of Political Belief. In KNUTSON, J. N., (ed.), Handbook of Political Psychology. Jossey-Bas's Publishers, San Francisco.
• LANGER, E. (1978). Rethinking the role of thought in social interaction. In New Directions in Attribution Research, volume 2. Erlbaum, Hillsdale.
• LASKE, Otto, E. (1986). On Competence and Performance Notions in Expert System Design. In 6ièmes Journés Internationales, Les systèmes experts et leurs applications, pages 257-297. Agence de l'informatique.
• LAVE, J. (1988). Cognition in Practice. Cambridge University Press, Cambridge.
• LEDDO, J. et R.P., A. (1986). The Nature of Explanations. In GALAMBOS, J., ABELSON, R., et BLACK, J., (eds.), Knowledge Structures. Lawrence Erlbaum, Hillsdale (NJ).
• LEE, J. J., NORRIS, W. D. I., et FISHWICK, P. A. (1993). An Object-Oriented Multimodel Approach to Integrate Planning, Intelligent Control and Simulation. Technical Report CIS TR93-022 TBP, Departement of Computer and Information Sciences, University of Florida.
• LEE, W. (1997). Decision Theory and Human Behaviour. Wiley, New York.
• LEGRENZI, P., GIROTTO, V., et JOHNSON-LAIRD, P. N. (1993). Focussing in Reasoning and Decision Making. Cognition, 49(1&2):37-66.
• LEHNERT, W., ALKER, Jr., H. R., et SCHNEIDER, D. K. (1983). The heroic Jesus, The affective plot structure of Toynbee's Christus Patiens. In BURTON, S. et SHORT, D., (eds.), Sixth International Conference on Computers and the Humanities. Maryland, Computer Science Press, Rockville.
• LEHNERT, W. G. (1981). Plot Units and Narrative Summarization. Cognitive Science, 4:293-333.
• LEHNERT, W. G. et RINGELE, M. (1982). Strategies for Natural Language Processing. Erlbaum, Hillsdale.
• LEITES, N. (1951). The operational code of the politburo. McGraw Hill, New York.
• LENK, H., (ed.) (1974). Normenlogik. Verlag Dokumentation, UTB, Pullach.
• LEVERICH, B., CANTEY, S., et Millar, R. (1988). PC-ROSS User's Reference Manual. The RAND Corporation. WD-3742-A.
• LEWELLEN, M. J., GOLDINGER, S. D., PISONI, D. B., et GREENE, B. G. (1993). Lexical Familiarity and Processing Efficiency: Individual Differences in Naming, Lexical Decision, and Semantic Categorization. Journal of Experimental Psychology: General, 122(3):316-330.
• LIVERGOOD, Norman, D. (1993). Design Issues in the Simulation of Beliefs in Corporate Intelligence Systems: REALPOLITIK II. International Journal of Man-Machine Studies, 39:99-112.
• LONGUET-HIGGINS, H. (1981). Artificial Intelligence - a New Theoretical Psychology. Cognition, 10:197-200.
• LOSEL, F. et SKOWRONEK, H. (1988). Beiträ ge der Psychologie zu politischen Planungs- und Entscheidungs-prozessen. Deutscher Studien Verlag, Weinheim.
• LUHAMNN, N. (1984). Sociale Systeme, Grundrisse einer allgemeinen Theorie. Suhrkamp, Frankfurt.
• LUHMANN, N. (1973). Zweckbegriff und Systemrationalität. Suhrkamp, Frankfurt.
• LUHMANN, N. (1982). The Differentiation of Society. Columbia University Press, New York.
• LURIA, A. (1979). Cognitive developpment, its cultural and social foundations. Harvard Univ. Press, Cambridge.
• MAITRE, J. (1975). Sociologie de l'idéologie et entretien non directif. Revue Francaise de sociologie, 16:248-256.
• MAJESKI, Stephen, J. et SYLVAN, D. J. (1993). U.S. Foreign Policy Making Regarding Bombing North Vietnam, 1963-65: The Narrowing of Acceptable and Winning Policy Recommendations. Annual Meeting of the International Studies Association, Acapulco, Mexico.
• MALAKOOTI, B. (1988). A Decision Support System and a Heuristic Interactive Approach for Solving Discrete Multiple Criteria Problems. IEEE Transactions on Systems, Man, and Cybernetics, SMC-18(2):273-284.
• MALLERY, J. C. (1988). Thinking About Foreign Policy: Finding an Appropriate Role for Artificially Intelligent Computers. presented to the panel on <<Analytical Frameworks for the Analysis of Conflict>> at the Annual Meeting of the International Studies Association.
• MALLERY, J. C. (1994a). Beyound Correlation: Bringing Artificial Intelligence to Events Data. International Interactions (to appear).
• MALLERY, J. C. (1994b). A Common LISP Hypermedia Server. In Proceedings of The First International Conference on The World-Wide Web.
• MALLERY, J. C. et HURWITZ, R. (1987). Analogy and Precedent in Strategic Decision-Making: A Computational Approach. presented to the panel on <<Current Research in Artificial Intelligence>>, APSR Meeting.
• MALLERY, J. C. et SHERMAN, F. L. (1993). Learning Historical Rules of Major Power Intervention in the Post-War International System. presented to the panel on <<New Directions in Computational Modeling>>, The Annual Meeting of the International Studies Association.
• MAOZ, Z. (1981). The Decision to raid Entebe: Decision Analysis Applied to Crisis Behaviour. Journal of Conflict Resolution, 25:677-707.
• MARCH, J. G. et SIMON, H. A. (1958). Organizations. Wiley, New York.
• MARUICHI, T., UCHIKI, T., et TOKORO, M. (1987). Behavioral Simulation Based on Knowledge Objects. In Bézivin, J., Hullot, J.-M., Cointe, P., et Lieberman, H., (eds.), Proceedings ECOOP '87, LNCS 276, pages 213-222, Paris, France. Springer Verlag.
• MATURANA, H. (1980). Autopoeisis And Cognition, The Realization of The living. Boston Studies In Philosophy of Science 42. D. Reidel, Boston.
• MCARTHUR, D., KLAHR, P., et NARAIN, S. (1984). ROSS: An Object-Oriented Language for Constructing Simulations. Technical Report R-3160-AF, The RAND Corporation.
• MCARTHUR, D., KLAHR, P., et NARAIN, S. (1985). The ROSS Language Manual. The RAND Corporation. N-1854-1-AF.
• MCARTHUR, D. J., KLAHR, P., et NARAIN, S. (1986). ROSS: An Object-oriented Language for Constructing Simulations. In KLAHR, P. et WATERMAN, D., (eds.), Expert Systems: Techniques, Tools, and Applications. Addison-Wesley, Reading.
• MCCARTHY, J. et HAYES, P. (1969). Some Philosophical Problems from the Standpoint of Artificial Intelligence. In Machine Intelligence. Elsevier, New York.
• McCarty, T. L. (1977). Reflections on TAXMAN: An Experiment in Artificial Intelligence an Legal Reasoning. Harward Law Review, 90:837-893.
• McCarty, T. L. (1980). Some Requirements for a Computer-Based Legal Consultant. In Proceedings of the First Annual Conference on Artificial Intelligence, pages 23-43, Stanford University.
• MCCARTY, T. L. et SHRIDARAN (1982). A Computational Theory of Legal Argument. Technical report, Rudgers University, Laboratory for Computer Science Research.
• MCCORDUCK, P. (1979). Machines Who Think, A Personal Inquiry Into The History and Prospects of Artificial Intelligence. Freeman, San Francisco.
• MCCULLOCH, W. et PITTS, W. (1943). A Logical Calculus of the Ideas Immanent in Neural Nets. Bulletin of Mathematical Biophysics, 5:115-137.
• McDERMOTT, D. (1992). Robot Planning. AI Magazine, 13(2):55-79.
• MEAD, G. H. (1934). Mind, Self and Society from the Standpoint of a Social Behaviorist. University of Chicago Press, Chicago.
• MEAD, G. H. (1938). The Philosophy of the Act. University of Chicago Press, Chicago.
• MEAD, G. H. (1964). On Social Psychology: Selected Papers. University of Chicago Press, Chicago.
• MEAD, G. H. (1982). The Individual and the Social Self: Unpublished Work of George Herbert Mead. University of Chicago Press, Chicago.
• MEADOWS, D., RICHARDSON, J., et BRUCKMAN, G. (1982). Groping in the Dark: The First Decade of Global Modelling. Wiley, New York.
• MEADOWS, D. H. et ROBINSON, J. M. (1985). The electronic oracle : computer models and social decisions. J. Wiley, Chichester, N.Y.
• MEEHAN, J. R. (1980). Everything you always wanted to know about authority structures but were unable to represent. In Proceedings of the First Annual Conference on Artificial Intelligence, pages 212-214.
• MEFFORD, D. (1979a). The grammar of change in political beliefs: a constructive critique of cognitive modeling. In IPSA, Moscow.
• MEFFORD, D. (1979b). Simulating the practical logic of deterrence: an application for artificial intelligence. MIT/ISA.
• MEFFORD, D. (1982). The Soviet Use of Force. PhD thesis, M.I.T., Department of Political Science.
• MEFFORD, D. (1984a). Changes in Foreign Policy Across Time: The Logical Analysis of a Succession of Decision Problems Using Logic Programming. In paper prepared for the Conference "Dynamic Models of International Conflict", Boulder, CO.
• MEFFORD, D. (1984b). Formulating Foreign Policy on the Basis of Historical Analogies: An Application of Developments in Artificial Intelligence. paper given at the International Studies Association, Atlanta.
• MEFFORD, D. (1986). Analogical Reasoning and the Definition of the Situation: Back to Snyder for Concepts and Forward to Artificial Intelligence for Method. In HERMANN, C., KEGLEY, C., et ROSENAU, J., (eds.), New Directions in the Comparative Study of Foreign Policy. Allen and Unwin, New York.
• MEGGLE, G., (ed.) (1985). Analytische Handlungstheorie, volume 1 + 2. Suhrkamp, Frankfurt.
• MELDMAN, J. A. et FOX, S. J. (1981). Concise Petri Nets and Their Use in Modeling the Social Work (Scotland) Act 1968. Emory Law Journal, 30:583-630.
• MEMMI, D. (1990). Connexionnisme, Intelligence Artificielle et Modélisation Cognitive. Intellectica, 9-10:41-79.
• MERTON, R. K. et KENDALL, P. L. (1945/46). The focused interview. American Journal of Sociology, pages 541-557.
• MESAROVIC, M. D. (1980). On Self Organizational Systems. In YOVITS, M., (ed.), Spontaneous Social Orders. Westview Press, Boulder, Colorado.
• MEY, J. L. (1982a). Introduction: On Simulating Machines and Lisping Humans. Journal of Pragmatics, 6:209-224.
• MEY, J. L. (1982b). On Beeing a Model. Journal of Pragmatics, 6:281-292.
• MICHALSKI, R., CARBONELL, J. G., et MITCHEL, T. M. (1983). Machine Learning, An Artificial Intelligence Approach. Tioga, Palo Alto.
• MICHIE, D. (1974). On machine intelligence. Wiley, New York.
• MILLER, JAMES, et GRIER (1978). Living Systems. McGraw-Hill, New York.
• MILLER, G. A. (1956). The magical number seven plus or minus two: some limits on our capacity for processing information. Psychological Review, 63:81-79.
• MILLER, G. A., GALANTER, E., et PRIBRAM, K. H. (1960). Plans and the structure of behavior. Holt, New York.
• MINKSKY, M. (1979). The Society Theory of Thinking. In WINSTON, P., (ed.), Artificial Intelligence: An M.I.T. Perspective, Vol.1. MIT Press, Cambridge.
• MINOURA, T., PARGAONKAR, S. S., et REHFUSS, K. (1993). Structural Active Object Systems for Simulation. In Proceedings OOPSLA '93, ACM SIGPLAN Notices, pages 338-355. Published as Proceedings OOPSLA '93, ACM SIGPLAN Notices, volume 28, number 10.
• MINSKY, M. (1963). Steps Toward Artificial Intelligence. In FEIGENBAUM et FELDMAN, (eds.), Computers and thought. McGraw-Hill, New York.
• MINSKY, M. (1968). Semantic Information Processing. MIT Press, Cambridge.
• MINSKY, M. (1975). A Framework for Representing Knowledge. In WINSTON, P., (ed.), The Psychology of Computervision. McGraw-Hill, New York.
• MINSKY, M. (1980). K-Lines: A Theory of Memory. Cognitive science, 4:117-133.
• MINSKY, M. (1982, fall). Why People Think Computers Can't. The AI Magazine, pages 3-15.
• MINSKY, M. (1988). The Society of Mind. Simon and Schuster, New York.
• MONTGOMERY, H. et SVENSON, O. (1989). Process and Structure in Human Decision Making. John Wiley.
• MORIN, E. (1990). Introduction à la pensée complexe. ESF, Paris.
• "MU", G. (1982). Rhétorique générale. Seuil, Paris, 2 edition.
• MUELLER, D. C. (1989). Public Choice II. Cambridge University Press, Cambridge.
• NARAYANAN, S., BODNER, D., SREEKANTH, U., GOVINDARAJ, T., McGINNIS, L., et MITCHEL, C. (1994a). An Object-Based, Direct-Image Approach to the Modeling and Simulation of Manufacturing Systems. Georgia Institute of Technology, submitted to the International Journal of Production Research.
• NARAYANAN, S., BODNER, D., SREEKANTH, U., GOVINDARAJ, T., McGINNIS, L., et MITCHEL, C. (1994b). Research in Object-Oriented Manufacturing Simulations, An Assessment of the State of the Art. Georgia Institute of Technology, submitted to the Manufacturing Review.
• NECHES, R., FIKES, R., FININ, T., GRUBER, T., PATIL, R., SENATOR, T., et SWARTOUT, W. (1991). Enabling Technology for Knowledge Sharing. AI Magazine, FALL:37-56.
• NEUMANN, J., v. (1966). The Theory of Self-Reproducing Systems. In Burks, A., (ed.), ?? University of Illinois, Urbana.
• NEUMANN, J., v. (1979). The Computer and The Brain. Yale University Press, New Haven.
• NEUMANN, J., v. et MORGENSTERN, O. (1947). Theory of games and economic behavior. Princeton University Press, Princeton.
• NEWELL, A. (1973). Artificial intelligence and the concept of mind. In SCHANK, R. C. et K.M., C., (eds.), Computer Models of Thought and Language. Freeman, San Francisco.
• NEWELL, A. (1981). The Knowledge Level, Presidential Address, AAI80, Stanford. Technical Report CMU-CS-81-131, Carnegie Mellon University.
• NEWELL, A. et SIMON, H. (1981). Computer Science as Empirical Enquiry: Symbols and Search. In HAUGELAND, J., (ed.), Mind Design. MIT Press, Cambridge,MA.
• NEWELL, A. et SIMON, H. A. (1972). Human Problem Solving. Prentice-Hall, London.
• NEWELL, A. et SIMON, H. A. (1976). Computer Science as Empirical Enquiry: Symbols and Search. Communications of the ACM, 19:113,126.
• NIELSEN, N. (1986). Knowledge based Simulation Programming. In National Computer Conference Conference Proceedings, pages 125-134. AFIPS.
• NIELSEN, N. (1991). Applications of AI Techniques to Simulation. In FISHWICK, P. et MODJESKI, R., (eds.), Knowledge Based Simulation: Methodology and Application. Springer Verlag, Hamburg.
• NILSSON, N. (1981). Principles of Artificial Intelligence. Tioga, Paolo Alto.
• NISBETT, R. et WILSON, T. (1979). Telling More Than We Know: Verbal Reports on Mental Processes. Psychological Review, 84:231-259.
• NORMAN, D. (1980). Twelve Issues for Cognitive Science. Cognitive Science, 6:1-32.
• NORMAN, D., (ed.) (1981). Perspectives on Cognitive Science. Ablex, Norwood.
• O'KEEFE, R. M. (1989). The Role of Artificial Intelligence in Discrete-Event Simulations. In WIDMAN, L. E., LOPARO, K. A., et NIELSEN, N. R., (eds.), Artificial Intelligence, Simulation & Modeling, pages 381-413. Wiley, New York.
• ORDESHOOK, P. C. (1992). A Political Theory Primer. Routledge, New York.
• ORTONY, A. (1980). Cognitive Science vs. Artificial Intelligence. SIGART, 69.
• PAGELLO, E. et PASGUALO.G. (1973). Artificial Intelligence - New Teleology or a New Technology. Science, 108:711-721.
• PAPERT, S. (1968). The Artificial Intelligence of Hubert L.Dreyfuss: A budget of fallacies. AI Memo 154, M.I.T.
• PARSONS, T. (1937). The Structure of Social Action. The Free Press, New York.
• PARSONS, T., (ed.) (1953). Working Papers in the Theory of Action. The Free Press, New York.
• PARSONS, T. (1977). Social Systems and the Evolution of Action Theory. The Free Press, New York.
• PARSONS, T. (1978). Action Theory and The Human Condition. The Free Press, New York.
• PARSONS, T. et SIHLS, E., (eds.) (1951/52). Towards a General Theory of Action. ??, Cambridge (Ma).
• PATEL, V., AROCHA, Jose, F., et GROEN, Guy, J. (1986). Strategy Selection and Degree of Expertise in Medical Reasoning. In Program of the Eighth Annual Conference of the Cognitive Science Society, pages 780-793, Hillsdale, NJ. Lawrence Erlbaum.
• PAUL, R. J. et THOMAS, P. J. (1994). Computer-Based Simulation Models for Problem-Solving: Communicating Problem Understandings. The Arachnet Electronic Journal on Virtual Culture, 2(2).
• PAVEL, C. et NICHOLS, D. (1993). MUDs Grow UP: Social Virtual Reality in the Real World. In Third Internation Conference on Cyberspace, Austin, Texas.
• PENNINGTON, N. et HASTIE, R. (1993). Reasoning in Explanation-based Decision Making. Cognition, 49(1&2):123-163.
• PERRET-CLERMONT, A., PERRET, J.-F., et BELL, N. (1991). The Social Construction of Meaning and Cognitive Activity in Elementary School Children. In RESNIK, L. B., (ed.), Perspectives on Socially Shared Cognition. American Psychological Association, Hyattsville, MD.
• PETERSON, J. (1981). Petri Net Theory and the modeling of Systems. Prentice Heall, N.J..
• PFEIFER, R. (1979). Formalisierung in der Psychologie mit Hilfe von Computersimulation unter besonderer Beruecksichtigung der "Kuenstlichen Intelligenz"-Forschung. Berichte aus der interdisziplinaeren Konfliktforschungsstelle 5, Universität Zurich. (Diss ETH Nr. 6494).
• PFEIFER, R. (1986a). Die vielgeschmäten Expertensysteme. Bulletin de Schweizer Psychologischen Gesellschaft, pages 79-91.
• PFEIFER, R. (1986b). Expertensysteme. Universität Zürich, Institut für Informatik, Fortbildungsseminare in Wirtschatsinformatik.
• PFEIFER, R. (1986c). "Knowledge Acquisition" und Lernen. Technische Rundschau, 18:34-39.
• PFEIFER, R. (1986d). On the Use of Experience in Expert Systems. In 6ièmes Journés Internationales, Les systèmes experts et leurs applications, pages 673-691. Agence de l'informatique.
• PFEIFER, R. et LUETHI, H.-J. (1986). Decision Support Systems and Expert Systems: A Complementary Relationship. In TAKKENBERG, C., (ed.), Expert Systems and Artificial Intelligence in Decision Support Systems. Reidel, Boston.
• PFEIFER, R. et NICHOLAS, D. W. (1981). Toward Computational Models of Emotion. mimeo, Dept.of Psychology, Carnegie-Mellon University.
• PFEIFER, R. et VERSCHURE, P. (1992). Beyound Rationalism: Symbols, Patterns, and Behavior. Berichte 92.14, Institut fuer Informatik der Universtitaet Zuerich.
• PIAGET, J. (1943). Psychologie de l'Intelligence. Colin, Paris.
• PIAGET, J. (1950). Introduction a l'epistémologie genetique, volume 1,2,2. PUF, Paris.
• POMEROL, J.-C. et BARBA-ROMERO, S. (1993). Choix multicritè re dans l'entreprise: principes et pratique. Hermes, Paris.
• POPPER, K. (1984). L'Univers irrésolu, Plaidoyer pour l'indéterminisme. Hermann, Paris.
• PRAEHOFER, H. (1993). An environment for DEVS-based multiformalism simulation in common Lisp/CLOS. Discrete Event Dynamic Systems, 3.
• PRESSMAN, J. L. et WILDAVSKY, A. (1984). Implementation : how great expectations in Washington are dashed in Oakland : or, why it's amazing that federal programs work at all : this being a saga of the economic development administration as told by two sympathetic observers who seek to build morals on a foundation of ruined hopes. Univ. of California Press, Berkeley.
• PRIGOGINE, I., ALLEN, P., et HERMAN, R. (1977). The Evolution of Complexity and The Laws of Nature. In LASZLO, ERVIN, et BIERMAN, J., (eds.), Goals For a Global Community. Pergamon, New York.
• PUTNAM, H. (1960). Minds and Machines. In HOOK, S., (ed.), Dimensions of mind. ??
• PUTNAM, H. (1975). Mind, Language and Reality. Cambridge Univ. Press, Cambridge.
• PYLYSHYN, Z. W. (1978). Computational Models and Empirical Constraints. The Behavioral and Brain Sciences, 1:93-127.
• PYLYSHYN, Z. W. (1980). Computation and Cognition: Issues in the Foundations of Cognitive Science. The Behavioral and Brain Sciences, 3:111-169.
• PYLYSHYN, Z. W. (1981). Complexity and the study of Artificial and Human Intelligence. In HAUGELAND, J., (ed.), Mind Design. MIT Press, Cambridge.
• PYLYSHYN, Z. W. (1984). Computation and Cognition, Toward a Foundation for Cognitive Science. MIT Press, Cambridge (Ma).
• QUINLAN, J. (1983). Learning Efficient Classification Procedures and Their Application to Chess Endgames. In MICHALSKI, R., CARBONELL, J. G., et MITCHEL, T. M., (eds.), Machine Learning, An Artificial Intelligence Approach, volume 1. Tioga, Palo Alto.
• RAIFFA, H. (1968). Decision Analysis: Introductory Lectures on Choices under Uncertainty. Addison-Wesley, Reading, MA.
• RAIKOVIC, V., BOHANEC, M., LESKOSEK, B., et STURM, J. (1992). A Knowledge-Based Advising System for Choosing Sports. In JELASSI, T., KLEIN, M. R., et MAYON-WHITE, W., (eds.), Decision Support Systems: Experiences and Expectations, Proceedings of the IFIP TC8/WG 8.3 Working Conference on Decision Support Systems, pages 215-224, Amsterdam. North-Holland.
• RAM, A. (1980). Decision Models: A Theory of Volitional Explanation. In Proceedings of the Twelvth Annual Conference of the Cognitive Science Society.
• RAPHAEL, B. (1976). The Thinking Computer. Freeman, San Francisco.
• RAPOLD, D. (1980). Das politische Weltbild des Bundesrates. Kleine Studien zur Politischen Wissenschaft 191, Universität Zürich.
• RAPPOPORT, A. (1962). Some Properties of Self-Organizing In Three-Person Groups. In FOERSTER, V. et HEINZ andZOPF,Jr., G. W., (eds.), Principles of Self-Organization, Transactions of The University of Illinois Symposium on Self-Organization, Robert Allerton Park, 8 and 9 June, 1961. MacMillan, New York.
• RAPPOPORT, A. (1966). Two-Person Game Theory, The Essential Ideas. Univ. of Michigan Press, Ann Arbor.
• READ, S. et CESA, I. (1990). This Reminds Me of the Time When...: Expectation Failures in Reminding and Explanation. Journal of Experimental Social Psychology, 26.
• REDDY, R. (1988). Foundations and Grand Challenges of Artificial Intelligence. The AI Magazine, pages 9-23.
• REDDY, Y. et FOX, M. (1982). KBS: An Artificial Intelligence Approach to Flexible Simulation. Technical Report TR CMU-R1-82-1, Robotics Institute, Carnegie-Mellon University.
• REID, E. (1994). Cultural Formations in Text-Based Virtual Realities. Master's thesis, Cultural Studies Program, Department of English, University of Melbourne.
• RENAUD, B. (1994). Global Data Sharing and Analysis: A Networked Hypermedia Approach. Political Science Departement, Massachusetts Institute of Technology, S.B. Thesis.
• RESNIK, L. B. (1991). Shared Cognition: Thinking as Social Practice. In RESNIK, L. B., (ed.), Perspectives on Socially Shared Cognition. American Psychological Association, Hyattsville, MD.
• RETTI, J. e. a. (1984). Frame-basierte Wissensrepräsentation für Modellierung und Simulation. Technical report, Bericht der Oesterreichischen Studiengesellschaft für Kybernetik.
• RICH, E. (1983). Artificial Intelligence. McGraw-Hill, New York.
• RICHARD, Jean-Fran c. (1990). Les activités mentales, comprendre raisonner, trouver des solutions. Colin, Paris.
• RICOEUR, P. (1973). Interpretation theory: discourse and the surplus of meaning. The Texas Christian University Press, Fort Worth.
• RICOEUR, P. (1975). La métaphore vive. Seuil, Paris.
• RICOEUR, P. (1983). Temps et récit, volume 1. Seuil, Paris.
• RIEGER, C. (1975). Conceptual Memory and Inference. In SCHANK, R. C., (ed.), Conceptual Information Processing. North Holland, Amsterdam.
• RIESBECK (1975). Conceptual Information Processing. In SCHANK, R. C., (ed.), Conceptual Information Processing, pages 83-156. North Holland, Amsterdam.
• RIESBECK, C. et SCHANK, R. (1989). Inside Case Based Reasoning. Lawrence Erlbaum, Hillsdale, N.J.
• RINGLE, M., (ed.) (1979a). Philosophical Perspectives in Artificial Intelligence. Humanities Press, Atlantic Highlands.
• RINGLE, M. (1979b). Philosophy and Artificial Intelligence. In RINGLE, M., (ed.), Philosophical Perspectives in Artificial Intelligence. Humanities Press, Atlantic Highlands.
• RISSLAND, E. (1993). Examples in Legal Reasoning: Legal Hypotheticals. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence.
• ROGERS, C. R. (1945/55). The nondirective method as a technique for social research. American Journal of Sociology, pages 279-283.
• ROIG, C. (1977). Symboles et Société. Lang, Berne.
• ROIG, C. (1980). La grammaire politique de Lenine. L'age d'Homme, Lausanne.
• ROKEACH, M. (1973). The Nature of Human Values. The Free Press, New York.
• RORTY, A. O. (1976a). The identities of persons. Univ. of California Press, Berkeley.
• RORTY, A. O. (1976b). A litterary post-script: Characters, persons, selves, individuals. In RORTY, A., (ed.), The identities of persons. Univ. of California Press, Berkeley.
• ROSCH, E. (1977). Classification of Real-World Objects: Origins and Representation in Cognition. In JOHNSON-LAIRD, P. et WASON, P., (eds.), Thinking: Readings in Cognitive Science. Cambridge University Press, Cambridge.
• ROSENBERG, J. K. (1980). Piaget and artificial intelligence. In Proceedings of the First Annual Conference on Artificial Intelligence, pages 266-268.
• ROSENBLOOM, P. S. et al. (1994). Event Tracking in Complex Multi-agent Environments. In to appear in Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, Orlando, FL.
• ROSENBLUTH, A., WIENER, N., et BIGELOW, J. (1943). Behavior, Purpose and Teleology. Philosphy of Science, 10:18-24.
• ROSNER, M. et Somers, H. L. (1980). Case in Linguistics and Cognitive science. Working Papers 40, ISSCO, Geneva.
• ROSS, B. (1989). Some Psychological Results on Case-Based Reasoning. In HAMMOND, K., (ed.), Proceedings of the DARPA Workshop on Case-Based Reasoning, volume 2, pages 144-147, San Mateo, CA. Morgan Kaufman.
• ROTHENBERG, J. (1989). The Nature of Modeling. In WIDMAN, L. E., LOPARO, K. A., et NIELSEN, N. R., (eds.), Artificial Intelligence, Simulation & Modeling, pages 75-92. Wiley, New York.
• ROTHENBERG, J., NARAIN, S., STEEB, R., HEFLEY, C., et SHAPIRO, N. (1989). Knowledge-Based Simulation: An Interim Report. Technical report, The RAND Corporation.
• RUIZ-MIER, S. et TALAVAGE, J. (1989). A Hybrid Paradigm for Modeling of Complex Systems. In WIDMAN, L. E., LOPARO, K. A., et NIELSEN, N. R., (eds.), Artificial Intelligence, Simulation & Modeling, pages 381-413. Wiley, New York.
• RULOFF, D. et FREI, D. (1979). Content Analysis, A Survey of Techniques, with Special Reference to the Analysis of CSCE Documents. Kleine Studien zur Politischen Wissenschaft 147-148, Universität Zürich.
• RUMELHART, D., HINTON, G., et McCLELLAND, J. (1986). A General Framework for Parallel Distributed Processing. In Rumelhart, D. et McClelland, J., (eds.), Parallel Distributed Processing. MIT Press, Cambridge (Ma).
• RUMELHART, D. et McCLELLAND, J. (1986). Parallel Distributed Processing. MIT Press, Cambridge (Ma).
• RUMELHART, D. E. et NORMAN, D. A. (1978). Accretion, Tuning, and Restructuring: Three Modes of Learning. In COTTON, J. W. et KLATZKI, R. L., (eds.), Semantic Factors in Cognition. Erlbaum, Hillsdale.
• SACERDOTI, E. (1977). A Structure for Plans and Behavior. Elsevier North-Holland, New York.
• SALOMON, G. (1988). AI in Reverse: Computer Tools that Turn Cognitive. Journal of Educational Computing Research, 4:12-140.
• SAMURCAY, R. et ROGALSKI, J. (1993). Cooperative Work and Decision Making in Emergency Management. Le Travail humain, 56:53-77.
• SAPIR, E. (1949). Culture, Language and Personality. Univ. of California Press, Berkeley.
• SARBIN, T. (1968). Role: psychological aspects. In International Encyclopedia of the social sciences, Vol 13. Macmillan/Free Press, New York.
• SARIS, W. E. et GALLHOFER, I. N. (1984). Formulation of Real Life Decisions: A Study of Foreign Policy Decisions. Acta Psychologica, 56:247-65.
• SAYRE, K. (1976). Cybernetics and The Philosophy of Mind. Humantities Press, New York.
• SCHANK, R. et CARBONELL, J. G. (1978). RE: The Gettisburg Adress, Representing Social and Political Acts. Research Report 127, Yale University, Dept. of Computer Science.
• SCHANK, R. C. (1980). Language and Memory. Cognitive Science, 4:243-284.
• SCHANK, R. C. (1982). Dynamic Memory. Cambrige University Press, Cambridge.
• SCHANK, R. C. et ABELSON, R. (1977). Scripts, Plans, Goals and Understanding. Erlbaum, Hillsdale.
• SCHANK, R. C. et COLBY, M. K., (eds.) (1973). Computer Models of Thought and Language. Freeman, San Francisco.
• SCHANK, R. C., LEBOWITZ, M., et BIRNBAUM, L. (1980). An Integrated Understander. American Journal of Computational Linguistics, 6:13-30.
• SCHANK, R. C. et RIESBECK, C. (1981). Inside Computer Understanding. Erlbaum, Hillsdale.
• SCHELLING, T. C. (1963). The strategy of conflict. Oxford Univ.Press, New York.
• SCHERER, K. et EKMAN, P. (1994). Approaches to Emotion. L. Erlbaum, Hillsdale N.J.
• SCHLEIERMACHER, F. (1977). Hermeneutik und Kritik. Suhrkamp, Frankfurt.
• SCHLUCHTER, W., (ed.) (1980). Verhalten, Handeln und System, Talcott Parsons Beitrag zur Entwicklung der Sozialwissenschaften. Suhrkamp, Frankfurt.
• SCHMIDT, C., SRIDHARAN, N., et GOODSON, J. (1978). Plan Recognition: an Intersection of Artificial Intelligence and Psychology. Artificial Intelligence, 9:45-83.
• SCHMIDT, S. J. (1976). Texttheorie. Fink, Müchen.
• SCHNEIDER, D., BORCIC, B., DILLENBOURG, P., , et HILARIO, M. MENDELSOHN, P. (1993a). An Experimental Toolbox for Advanced Interactive Learning Environments. In Symposium on Artificial Intelligence and Robotic, Zurich.
• SCHNEIDER, D., DILLENBOURG, P., MENDELSOHN, P., HILARIO, M., et BORCIC, B. (1993b). An Experimental Toolbox for Interactive Learning Environments. In Proceedings of the Third International Lisp Users and Vendors Conference, Cambridge, Ma. To appear in a special issue of Lisp Pointers (ACM SIGPLAN).
• SCHNEIDER, D., DILLENBOURG, P., MENDELSOHN, P., HILARIO, M., et BORCIC, B. (1993c). Intégration d'un hypertexte dans un environnement d'apprentissage à initiative mixte. In Actes du Colloque Hypermédias et Apprentissages, Third European Congress Multi Média, Intelligence Artificielle et Formation. APPLICA-93., Lille.
• SCHNEIDER, D. K. (1983). Texte et politique 1: Prolégomènes pour l'analyse du texte narratif en science politique: un examen critique des écoles contemporaines de l'analyse et de la théorie du récit. Département de science politique, Université de Genève.
• SCHNEIDER, D. K. (1984). Modeling Individual Decision. paper presented to the ECPR workshop on individual decision making.
• SCHNEIDER, D. K. (1985a). Mycin-like expert systems in law: towards operational tools for legal expert systems. paper presented at the IFAC workshop on Artificial Intelligence in economics and management.
• SCHNEIDER, D. K. (1985b). Some epistemological questions on representation and computation. Genéve, working paper.
• SCHNEIDER, D. K. (1990). Modelling admistrative decisions with a Mycin language. Working Paper, FPSE, University of Geneva.
• SCHNEIDER, D. K. et TONFONI, G. (1984). Introduzione. In TONFONFI, G., (ed.), Menti, Cervelli et programmi, Un dibatto sull' Intelligenza Artificiale. Club-Clued, Milano.
• SCHRAGE, M. (1990). Shared Minds, The New Technologies of Collaboration. Random House, New York.
• SCHRODT, P. A. (1984a). Artificial Intelligence and International Crisis, The Application of Pattern Recognition to the Analysis of Event Sequences. paper presented at the APSA meetings.
• SCHRODT, P. A. (1984b). Artificial Intelligence and the State of Mathematical Modeling in International Relations. paper presented at the Conference on Dynamic Models of International Conflicts, Boulder, CO, oct/nov.
• SCHRODT, P. A. (1991). Artificial Intelligence and International Relations: An Overview. In HUDSON, V., (ed.), Artificial Intelligence and International Politics. Westview Press.
• SCHRYVER, J. C. (1992). Object-Oriented Qualitative Simulation of Human Mental Models of Complex Systems. IEEE Transactions on Systems, Man, and Cybernetics, 22(3):526-541.
• SCHUETZ, A. (1974). Der sinnhafte Aufbau der sozialen Welt. Eine Einleitung in die verstehende Soziologie. Suhrkamp, Frankfurt.
• SCHWARTZ, S. P. (1979). Natural kind terms. Cognition, 7:301-315.
• SEARLE (1969). Speech Acts. Cambridge Press, London.
• SEARLE, J. (1980). Minds, Brains, and Programs. The Behavioral and Brain Sciences, 3:417-424.
• SEARLE, J. (1981). Minds, Brains, and Programs. In HAUGELAND, J., (ed.), Mind Design. MIT Press, Cambridge,MA.
• SERGOT, M.J. et al. (1986). The British Nationality Act as a Logic Program. CACM 29(5): 370-386.
• SEJNOWSKI, T. et ROSENBERG, C. (1987). Parallel Networks that Learn to Pronounce English Text. Complex Systems, 1:145-168.
• SHAFIR, E., SIMONSON, I., et TVERSKY, A. (1993). Reason-based Choice. Cognition, 49(1&2):11-36.
• SHAPIRO, M. J. et BONHAM, G. (1973). Cognitive process and foreign policy decision making. International studies quarterly, 17:147-174.
• SHARKEY, N. et PFEIFER, R. (1984). Unconfortable bedfellows: cognitive psychology and AI. In YASDANI, M. et NARAYANAN, A., (eds.), Artificial Intelligence: Human effects. Ellis Herwood, Chichester.
• SHORTCLIFFE, E. (1976). Computer-Based Medical Consultations: MYCIN. American Elsevier, New York.
• SIMON, Herbert A.and SMITHBURG, D. W. et THOMPSON, V. A. (1950). Public administration. Knopf, New York.
• SIMON, H., LANGLEY, P., et BRADSHAW, G. (1981). Scientific Discovery as Problem Solving. Synthese, 47:1-27.
• SIMON, H. A. (1969). The Sciences of the Artificial. Cambridge Press.
• SIMON, H. A. (1977). The New Science of Management Decision. Prentice Hall, Englewood Cliffs.
• SIMON, H. A. (1980). Cognitive Science: The Newest Science of the Artificial. Cognitive Science, 4:33-46.
• SIMON, H. A. (1981). The Sciences of the Artificial. The MIT Press, Cambridge, (MA), 2 edition.
• SIMON, H. A. (1985). Human Nature in Politics: The Dialogue of Psychology with Political Science. American Political Science Review, 79(2):293-304.
• SKINNER, B. (1931). The Concept of the Reflex in the Description of Behavior. Journal of Genral Psychology, 5:427-58.
• SKINNER, B. (1957). Verbal Behavior. ??, New York.
• SLADE, S. (1991). Case Based Reasoning: A Research Paradigm. AI Magazine, 12(1):52-68.
• SLEEMAN, D. et BROWN, J. (1982). Intelligent Tutoring Systems. Academic Press, New York.
• SMITH, H., HENNESSY, P., et LUNT, G. (1991). An Object Oriented Framework for Modelling Organisational Communication. In Studies in Computer Supported Cooperative Work: Theory, Practice and Design. Elsevier.
• SMOLENSKY, P. (1988). On the Proper Treatment of Connectionism. Behavioral and Brain Sciences, 11:1-73.
• SRIDHARAN, N. (1982). A Flexible Structure for Knowledge, Examples of Legal Concepts. Technical Report LRP-TR-14, Rutgers University, Laboratory for Computer Science Research.
• SRIDHARAN, N. et SCHMIDT, C. (1978). Knowledge-Directed inference in BELIEVER. In WATERMAN, D. et HAYS-ROTH, F., (eds.), Pattern directed inference systems. Academic Press, New York.
• STEELS, L. (1978). Introducing conceptual grammar. AI Working Paper 176, M.I.T., AI Lab.
• STEELS, L. et McDERMOTT, J. (1993). The Knowledge Level in Expert Systems. Academic Press, Boston (MA).
• STEFIK, M. et al. (1983a). The Architecture of Expert Systems. In HAYES-ROTH, F., WATERMAN, D., et LENAT, D., (eds.), Building Expert Systems. Addison-Wesley, New York.
• STEFIK, M. et al. (1983b). Basic Concepts for building expert systems. In HAYES-ROTH, F., WATERMAN, D., et LENAT, D., (eds.), Building Expert Systems. Addison-Wesley, New York.
• STEINBRUNNER, J. D. (1997). The Cybernetic Theory of Decision. Princeton University Press, Princeton.
• STONE, G. P. et FARBERMAN, H. A., (eds.) (1981). Social Psychology Through Symbolic Interaction. Wiley, New York, 2 edition.
• STONE, P. J. et al. (1966). The General Inquirer: A Computer Approach to Content Analysis. The MIT Press, Cambridge.
• SUCHMAN, L. (1987). Plans and Situated Action. Cambridge University Press, Cambridge.
• SVENSON, O. (1979). Process Descriptions of Decision Making. Organizational Behavior and Human Performance, 23:86-112.
• SVENSON, O. (1989a). Eliciting and Analysing Verbal Protocols in Process Studies of Judgement and Decision Making. In MONTGOMERY, H. et SVENSON, O., (eds.), Process and Structure in Human Decision Making, pages 65-81. John Wiley.
• SVENSON, O. (1989b). Illustrating Verbal Protocol Analysis: Individual Decisions and Dialogues Preceding a Joint Decision. In MONTGOMERY, H. et SVENSON, O., (eds.), Process and Structure in Human Decision Making, pages 83-98. John Wiley.
• SYLVAN, D. et GLASSNER, B. (1985). A Rationalist Methodology for the Social Sciences. Basil Blackwell.
• SYLVAN, D. A. et CHAN, S., (eds.) (1984). Foreign Policy Decision Making: Perception, Cognition and AI. Praeger, New York.
• SYLVAN, D. A., GOEL, A., et CHANDRASEKARAN, B. (1989). Analyzing Political Decision Making from and Information Processing Perspective: JESSE. Technical report, Laboratory for AI Research, Ohio State University.
• SYLVAN, D. A., OSTROM, T. M., et GANNON, K. (1994). Case-Based, Model-Based, and Explanation-Based Styles of Reasoning in Foreign Policy. International Studies Quarterly, 38:61-90.
• SYLVAN, D. J. et MAJESKI, Stephen, J. (1994). Modelling Theories of Constitutive Relations in Politics. paper submitted to the American Political Science Review.
• TAMBE, M., JONES, R., LAIRD, J., ROSENBLOOM, P., et SCHWAB, K. (1994). Building Believable Agents for Simulation Environments: Extended Abstract. In to appear in Proceedings of the AAAI Spring Symposium: Believable Agents, Orlando, FL.
• TAMBE, M. et ROSENBLOOM, P. S. (1994). Intelligent Automated Agents for Tactical Air Simulation: A Progress Report. In to appear in Proceedings of the Fourth Conference on Computer Generated Forces and Behavioral Representation, Orlando, FL.
• TANAKA, A. (1980). China, China-Watching and CHINA-WATCHER. Working paper, MIT, Dept. of Political Science.
• THORNDYKE, P. W. (1977). Cognitive structures in comprehension and memory of narrative discourse. Cognitive Psychology, 9:77-110.
• TIBERGHIEN, G., MENDELSOHN, P., ANS, B., et GEORGE (1990). Traité de Psychologie Cognitive, volume 2, chapter Contraintes structurales et fonctionnelles des systèmes de traitement, pages 1-32. Dunod.
• TOLMAN, E. C. (1951). A Psychological Model. In PARSONS, T., (ed.), Toward a General Theory of Action. Harper, New York.
• TONFONI, G. (1982). A Frame-System Theory of Text. Working Paper, M.I.T., AI Lab.
• TONFONI, G. (1983). Artificial Intelligence, Contributions to Text-Understanding, Summarization and Analogy Procedures. Versus, Bompiani, Milano, in press ????
• TOULMIN, S. (1958). The Uses of Argument. Cambridge University Press, London.
• TULVING, E. (1983). Elements of Episodic Memory. Oxford University Press, New York.
• TURING, E. (1963). Computing Machinery and Intelligence. In FEIGENBAUM, E. et FELDMAN, J., (eds.), Computers and Thought. McGraw-Hill, New York.
• TURNER, R. H. (1968). Role:sociological aspects. In International Encyclopedia of the Social Sciences, Vol 13. Macmillan/Free Press, New York.
• TVERSKY, A. et KAHNEMAN, D. (1974). Judgement under uncertainty: heuristics and biases. Science, 185:1124-31.
• TVERSKY, A. et KAHNEMAN, D. (1981). The framing of decisions and the psychology of choice. Science, 211:453-458.
• ULLRICH, R. A. et Wieland, G. (1980). Organization theory and design. Irwin, Homewood.
• UNSELD, S. et MALLERY, J. C. (1991). Inductive Interaction Detection for Complex Datamodels. Technical Report 1298, MIT AI Laboratory Memo, Cambridge.
• UNSELD, S. D. (1988). Wissensbasierte Simulation einer Organisation. Verlag der Fachvereine, Zurich. Diss. ETH Nr 8429.
• Van de VELDE, W. (1993). Issues in Knowledge Level Modelling. In DAVID, J.-M., KRIVINE, J.-P., et SIMMONS, R., (eds.), Second Generation Expert Systems. Springer Verlag, Berlin.
• VAN DIJK, T. A. (1977). Text and context. Longman, London.
• VAN DIJK, T. A. (1980a). Macrostructures, An interdisciplinary study of global structures in discourse, interaction and cognition. Erlbaum, Hillsdale.
• VAN DIJK, T. A. (1980b). Story Comprehension: an introduction. Poetics, 9:1-21.
• VARELA, G., MATURANA, D., et URIBE, R. (1974). Autopoiesis: the organization of living systems, its characterization and a model. Biosystems, 5:187-196.
• VISETTI, Y.-M. (1989). Compte rendu de Lucy A. Suchman, Plans and Situated Actions - The problem of Human/Machine Communication, Intellectica, 7.
• von FOERSTER, H., (ed.) (1968). Purposive Systems, Proceedings of The First Annual Symposium of The American Society for Cybernetics. Spartan.
• VON WRIGHT, G. (1963). Norm and Action. Routledge and Kegan, London.
• WADDINGTON, C. H. (1977). Tools for Thought. Basic Books, New York.
• WALTZ, D. (1982). Artificial Intelligence. Scientific American, 247(4).
• WATERMAN, D. (1985). A Guide to Expert Systems. Addison-Wesley, New York.
• WATERMAN, D. et HAYES-ROTH, F., (eds.) (1978). Pattern-directed Inference Systems. Academic Press, New York.
• WATERMAN, D. et JENKINS, B. (1979). Heuristic Modeling Using Rule-based Computer Systems. In KUPPERMAN, R. et TRENT, D., (eds.), Terrorism,Threat, Reality, Response. Hoover Institution Press, Stanford University, Stanford.
• WATERMAN, D. et PETERSON, M. A. (1981). Models of Legal Decisionmaking. Technical Report R-2717-ICJ, Santa Monica, Rand, The Institue for Civil Justice.
• WATSON, J. (1913). Psychology as the Behaviorist Views it. Psychological Review, 20:158-177.
• WATZLAWICK, P., BEAVIN, J. H., et JACKSON, D. D. (1967). Pragmatics of Human Communication. ??, New York.
• WEBER, E. U. et COSKUNOGLU, O. (1990). Descriptive and Prescriptive Models of Decisionmaking: Implications for the Development of Decision Aids. IEEE Transactions on Systems, Man, and Cybernetics, 20(2):310-317.
• WEBER, M. (1969). Basic Concepts of Socioloy. Greenwook Press, Westport.
• WEBER, M. (1981). Soziologische Grundbegriffe. Mohr (UTB 541), Tubingen.
• WEIZENBAUM, J. (1976). Computer Power and Human Reason. Freeman, San Francisco.
• WERTHEIMER, M. (1921). Untersuchungen zur Lehre von der Gestalt. Psychologische Forschung, 1:42-58.
• WERTHEIMER, M. (1923). Untersuchungen zur Lehre von der Gestalt. Psychologische Forschung, 4:301-350.
• WHITE III, C. C. (1990). A Survey on the Integration of Decision Analysis and Expert Systems for Decision Support. IEEE Transactions on Systems, Man, and Cybernetics, 20(2):358-364.
• WHITEHEAD, A. et RUSSEL, B. (1935). Principia Mathematica. The Cambridge University Press, Cambridge.
• WHORF, B. L. (1979). Language, thought and reality. MIT Press, Cambridge.
• WIDMAN, L. E., LOPARO, K. A., et NIELSEN, N. R. (1989). Artificial Intelligence, Simulation & Modeling. Wiley, New York.
• WIELINGA, B. et BREUKER, J. (1984). Interpretation of verbal data for knowledge acquisition. In O'SHEA, T., (ed.), Advances in Artificial Intelligence, pages 41-50. North-Holland, Amsterdam.
• WIELINGA, B., SCHREIBER, A., et BREUKER, A. (1992). KADS: A Modelling Approach to Knowledge Engineering. Knowledge Acquisition, 4:5-53.
• WIENER, N. (1961). Cybernetics or Control and Communication in the Animal and the Machine. MIT Press, Cambridge.
• WILENSKY, R. (1981). Meta-planning, planning in problem-solving and natural language understanding. Cognitive Science, 5:197-233.
• WILENSKY, R. (1983). Planning and understanding, a computational approach to human reasoning. Addison-Wesley, Reading.
• WILKS, Y. (1977). Methodological Questions about Artificial Intelligence: Approaches to Understanding Natural Language. Journal of Pragmatics, 1:69-84.
• WILLIAMS, R. J. (1993). An Agent Based Simulation Environment for Public Order Management Training. In Object Oriented Simulation Conference.
• WILLKE, H. (1982). Systemtheorie. Gustav Fischer, Stuttgart.
• WINDISCH, U. (1978). Xénophobie ? Logique de la pensée populaire. L'age de d'Homme, Lausanne.
• WINOGRAD, T. (1978). On Primitives, Prototypes, and other Semantic Anomalies. In Workshops on Theroretical Issues in Natural Language Processing, (TINLAP).
• WINOGRAD, T. (1980). What Does it Mean to Understand Language. Cognitive Science, 4:209-241.
• WINOGRAD, T. (1983). Language as a Cognitive Process, volume Vol 1: Syntax. Addison-Wesley, Reading.
• WINOGRAD, T. et FLORES, F. (1986). Understanding Computers and Cognition. Addison-Wesley, Reading (Ma).
• WINSTON, P. (1980). Learning and Reasoning by Analogy: the Details. AI-Memo 520, M.I.T., AI Lab.
• WINSTON, P. (1981). Learning new Principles from Precedents and Exercices. AI-Memo 632, M.I.T., AI Lab.
• WINSTON, P. (1982). Learning by Augmenting Rules and Accumulating Censors. AI Memo 678, M.I.T.
• WINSTON, P. (1984). Artificial Intelligence. Addison-Wesley, Reading, 2 edition.
• WINSTON, P. et HORN, B. K. (1984). LISP. Addison-Wesley, Reading (Ma.).
• WISH, N. (1980). Foreign policy makers and their national role conceptions. International Studies Quarterly, 24:532-54.
• WITTGENSTEIN, L. (1953). Philosophical Investigations. Macmillan, London.
• WOODS, D. et ROTH, E. (1991). Cognitive System Engineering. In HELANDER, M., (ed.), Handbook of Human-Computer Interaction. North-Holland, Amsterdam.
• WOODS, W. (1970). Transition Network Grammars for Natural Language Analysis. Communications of the ACM, 13:591-606.
• WRAY, H. J. (1971). Comment on the interpretation of early research into belief systems. The Journal of Politics, 41:1173-1181.
• WUNDT, W. (1874). Principles of Physiological Psychology, volume 1 + 2. Macmillan, London.
• WYGOTSKI, L. S. (1988). Denken und Sprechen. Fischer, Frankfurt am Main.
• YAGER, R. (1988). On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decisionmaking. IEEE Transactions on Systems, Man, and Cybernetics, SMC-18(1):183-190.
• ZAJONC, B. (1980). Preferences without Inferences. Amercian Psychologist, 35:151-175.
• ZEIGLER, B. P. (1990). Object-Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Systems. Academic Press.
• ZEIGLER, B. P. (1991). Object-Oriented Modeling and Discrete-Event Simulation. Advances in Computers, 33:67-114.
• ZEIGLER, B. P. et VAHIE, S. (1993). DEVS Formalism and Methodology: Unity of Conception/Diversity of Application. In Proceedings of the Winter Simulation Conference, Washington, DC.
• ZEIGLER, B. P., VAHIE, S., et YOUNG, M. J. (1994). Successive Approximation in Multifacetted Modelling Methodology: Human Performance Application. International Journal of Computer Simulation.
• ZELENY, M. (1977). Self-Organization of Living Systems, A Formal Model of Autopoeisis. International Journal of General Systems, 4:13-28.
• ZELENY, M. (1980a). Autopoiesis: A Paradigm Lost? In ZELENY, M., (ed.), Autopoiesis, Dissipative Structures, And Spontaneous Social Orders. Westview Press, Boulder.
• ZELENY, M., (ed.) (1980b). Autopoiesis, dissipative structures, and spontaneous social orders. Westview Press, Boulder.
• ZELENY, M. et PIERRE, N. (1975). Simulation Models of Autopoeitic Systems. In Proceedings of The 1975 Computer Simulation Conference, pages 831-842, La Jolla, CA. Simulations Councils, Inc.
• ZELENY, M. et PIERRE, N. A. (1976). Simulation of Self-Renewing Systems. In JANTSCH, E. et WADDINGTON, C. H., (eds.), Evolution and Consciousness, Human Systems in Transition. Addison-Wesley, Reading.
• ZUURBIER, J. (1992). On the Design of Group Decision Support Systems. In JELASSI, T., KLEIN, M. R., et MAYON-WHITE, W., (eds.), Decision Support Systems: Experiences and Expectations, Proceedings of the IFIP TC8/WG 8.3 Working Conference on Decision Support Systems, pages 59-70, Amsterdam. North-Holland.