References

Bannerjee1991

Bannerjee, S. 1991. Reproduction of opppositions in historical structures. In Working Notes for the AAAI Fall Symposium on Knowledge and Action at the Social and Organizational Levels. AAAI.

Bareiss1989

Bareiss, R. 1989. Exemplar-Based Knowledge Acquisition, A Unified Approach to Concept Representation, Classification, and Learning. Academic Press, Inc.

Bates, A. Bryan Loyall, & Reilly1992

Bates, J.; A. Bryan Loyall; and Reilly, W. S. 1992. Integrating reactivity, goals, and emotion in a broad agent. In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society. Bloomington, IN: Cognitive Science Society.

Birnbaum & Collins1984

Birnbaum, L., and Collins, G. 1984. Opportunistic planning and freudian slips. In Proceedings of the Sixth Annual Conference of the Cognitive Science Society. Boulder, CO: Cognitive Science Society.

Colby1981

Colby, K. M. 1981. Modeling a paranoid mind. The Behavioral and Brain Sciences 4(4):515-560.

Elliott & Carlino1994

Elliott, C., and Carlino, E. 1994. Detecting user emotion in a speech-driven interface. Work in progress.

Elliott & Ortony1992

Elliott, C., and Ortony, A. 1992. Point of view: Reasoning about the concerns of others. In Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, 809-814. Bloomington, IN: Cognitive Science Society.

Elliott & Siegle1993

Elliott, C., and Siegle, G. 1993. Variables influencing the intensity of simulated affective states. In AAAI technical report for the Spring Symposium on Reasoning about Mental States: Formal Theories and Applications, 58-67. American Association for Artificial Intelligence. Stanford University, March 23-25, Palo Alto, CA.

Elliott, Yang, & Nerheim-Wolfe1993

Elliott, C.; Yang, Y.-Y.; and Nerheim-Wolfe, R. 1993. Using faces to express simulated emotions. unpublished manuscript.

Elliott1992

Elliott, C. 1992. The Affective Reasoner: A Process Model of Emotions in a Multi-agent System. Ph.D. Dissertation, Northwestern University. The Institute for the Learning Sciences, Technical Report No. 32.

Elliott1993

Elliott, C. 1993. Using the affective reasoner to support social simulations. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, 194-200. Chambery, France: Morgan Kaufmann.

Elliott1994

Elliott, C. 1994. Research problems in the use of a shallow artificial intelligence model of personality and emotion. In Proceedings of the Twelfth National Conference on Artificial Intelligence, 9-15. Seattle, WA: AAAI. THIS PAPER.

Frijda & Swagerman1987

Frijda, N., and Swagerman, J. 1987. Can computers feel? theory and design of an emotional system. Cognition & Emotion 1(3):235-257.

Frijda et al. 1992

Frijda, N. H.; Ortony, A.; Sonnemans, J.; and Clore, G. L. 1992. The complexity of intensity: Issues concerning the structure of emotion intensity. In Clark, M., ed., Emotion: Review of Personality and Social Psychology, volume 13. Newbury Park, CA: Sage.

Gray1993

Gray, J. 1993. A general model of the limbic system and basal ganglia; applications to anxiety and schizophrenia. In Workshop on Architectures underlying motivation and emotion. The University of Birmingham School of Computer Science and Centre for Research in Cognitive Science. August 11-12, Birmingham, England.

Kass et al. 1992

Kass, A.; Burke, R.; Blevis, E.; and Williamson, M. 1992. The GuSS project: Integrating instruction and practice through guided social simulation. Technical Report 34, The Institute for the Learning Sciences, Northwestern University.

Lehnert1981

Lehnert, W. 1981. Plot units and narrative summarization. Cognitive Science 5:293-331.

Marquis & Elliott1994

Marquis, S., and Elliott, C. 1994. Emotionally responsive poker playing agents. In Notes for the Twelfth National Conference on Artificial Intelligence (AAAI-94) Workshop on Artificial Intelligence, Artificial Life, and Entertainment, 11-15. American Association for Artificial Intelligence.

Norman1980

Norman, D. A. 1980. Twelve issues for cognitive science. Cognitive Science 4(1):1-32. Keynote speech for First Cognitive Science Conference.

O'Rorke & Ortony1994

O'Rorke, P., and Ortony, A. 1994. Explaining emotions. Cognitive Science 18:283-323.

Ortony, Clore, & Collins1988

Ortony, A.; Clore, G. L.; and Collins, A. 1988. The Cognitive Structure of Emotions. Cambridge University Press.

Ortony, Clore, & Foss1987

Ortony, A.; Clore, G.; and Foss, M. 1987. The referential structure of the affective lexicon. Cognitive Science 11:341-364.

Pelachaud, Viaud, & Yahia1993

Pelachaud, C.; Viaud, M.-L.; and Yahia, H. 1993. Rule-structured facial animation system. In Proceedings of the Thirteenth Annual Joint Conference on Artificial Intelligence. Chambery, France: Morgan Kaufmann.

Pfeifer & Nicholas1985

Pfeifer, R., and Nicholas, D. W. 1985. Toward computational models of emotion. In Steels, L., and Campbell, J. A., eds., Progress in Artificial Intelligence. Ellis Horwood, Chichester, UK. 184-192.

Reeves1991

Reeves, J. F. 1991. Computational morality: A process model of belief conflict and resolution for story understanding. Technical Report UCLA-AI-91-05, UCLA Artificial Intelligence Laboratory.

Reilly1993

Reilly, W. S. 1993. Emotion as part of a broad agent architecture. In Workshop on Architectures underlying motivation and emotion. The University of Birmingham School of Computer Science and Centre for Research in Cognitive Science.

Rolls1993

Rolls, E. T. 1993. A theory of emotion, and its application to understanding the neural basis of emotion. In Workshop on Architectures underlying motivation and emotion. The University of Birmingham School of Computer Science and Centre for Research in Cognitive Science.

Scherer1993

Scherer, K. 1993. Studying the emotion-antecedent appraisal process: An expert system approach. Cognition & Emotion 7(3):325-356.

Sloman1987

Sloman, A. 1987. Motives, mechanisms and emotions. Cognition & Emotion 1(3):217-234.

Toda1982

Toda, M. 1982. Man, Robot and Society. Boston: Martinus Nijhoff Publishing.

Van Lehn1988

Van Lehn, K. 1988. Student modeling. In Polson, M. C., and Richardson, J. J., eds., Foundations of Intelligent Tutoring Systems. Lawrence Erlbaum Associates.