Towards fuzzy agents with dynamic personality for human behavior simulation

Simulation Series

Volumn 35, Issue 3, 2003, Pages 3-10

  Ghasem Aghaee, Nasser ^a   Oren, Tuncer I ^b  

^a UNIVERSITY OF ISFAHAN   (Iran)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Agents with personality; Fuzzy agents; Fuzzy logic; Personality knowledge

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; FUZZY SETS; SOCIAL SCIENCES;

CONCISE REPRESENTATIONS; FUZZY AGENTS; HUMAN BEHAVIORS; PERSONALITY KNOWLEDGE; PERSONALITY TRAITS;

FUZZY LOGIC;

EID: 84907428717     PISSN: 07359276     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (40)

1. Adamatti, D.F., Bazzan, A.L. (2002). A Framework for Simulation of Agents with Emotions, http://www.inf.ufrgs.br/-adamattiJpag/inles/WorkcornpO
2. Alibeck, J., Badler, N. (2002). Toward Representing Agent Behaviors Modified by Personality and Emotion, Embodied Conversational Agents at AAMAS 02, July 15-19, Bologna, Italy.
3. Bates, J. (1994). The Role of Emotion in Believable Agents, Communications of the ACM, Vol. 37, No 7, pp. 122-125.
4. Bazzan, A.L.C., Bordini, R.H. (2001). A Framework for the Simulation of Agents with Emotions. Report on Experiment with the Iterated Prisoners Dilemma.. In: Proc. of the mt. Conf on Autonomous Agents, Montreal, Canada pp. 292-299.ACM press.
5. Bonarini, A. (1996). Reinforcement Learning of Hierarchical Fuzzy Behaviors for Autonomous Agents, Proc. IPMU. pp. 1223-1228.
6. Campos, A.M.C., Hill, D.R.C. (1998). Web-Based Simulation of Agent Behaviors, . http://www.isirnafr/ecosimlagent/abstract.html
7. Cloninger, S. C. (1996). Personal itv: Description, Dynamics and Development, W. H. Freeman and Company, New York.
8. Costa, P.T., Jr., McCrae, KR. (1992). NEO PI-R Professional Manual, Odessa, Fla: Psychological Assessment Resources.
9. Costa, P.T., Jr., McCrae, R.R. (1995). Domains and Facets: Hierarchical Personality Assessment Using the Revised NEO Personality Inventory, Journal of Personality Assessment, 64, 2 1-50.
10. .Durkin, J. (1994). Expert Systems -Design and Development. Prentice Hall International, Inc.
11. El-Nasr, M.S., Skubic, M.(1998). A Fuzzy Emotional Agent for Decision-Making in a Mobile Robot. Proc. of FUZZ -IEEE 98 Alaska, www.cccs.missouri.edukskubic/Papers/fuzzieee.pdf
12. El-Nasr M. S.; Yen J.; and loerger T.R. (2000) FLAME-Fuzzy Logic Adaptive Model of Emotions Az#onomous Agents and Multi-Agent Systems, 2000 Kluwer Academic Publishers Netherlands, 2 19-257, http:/fist.psu.edu!yen.publications/FLAM.doc
13. Gadanho, S.C., Hallam, J. (2000). Emotion-Triggered Learning in Autonomous Robot Control, University of Edinburg, y.ijst.utLpt/-sandra
14. Howard, J. (2000). The Owner r Manual for the Brain, Everyday Applications from Mind-Brain Research, Second Edition, Brad Press, Atlanta, U.S.A., www.bradpress.com
15. Howard, P.J., Howard, J.M. (200 la).The BIG FIVE Quickstart: An Introduction to the Five-Factor Model of Personality for Human Resource Professionals, Center for Applied Cognitive Studies (CentACS), Charlotte, North Carolina www.centaes.comlguickstart.htm
16. Carolina. www.centaes.comlguickstart.htm Howard, P.J., Howard, J.M. (200lb). The Owners Manual for Personality at Work, Austin, Texas, Bard Press, Januaiy 2001, httm/fwww.eentacs.com/book-otnp.htm.
17. Johnson, J., A. (2000). Web-Based Personality Assessment, http://www.personal.psu.edu/facultv/j/5/j5i/papers/web.lit ml
18. Kandel, A., Hall, L.O. (1991). The Evaluation from Expert Systems to Fuzzy Expert Systems, Fuzzy Expert Systems, Kandel, A. (ed.), CRC Press, 1991, p.19.
19. Klir, G, Yuan, B. (1998). Basic Concepts and History of Fuzzy Set Theory and Fuzzy Logic, Ruspini, E.H.. Bonissone, PP., Pediycz, W. (eds.), Handbook of Fuzzy Computation, 1:9, pp. Al.Institute of Physics Publishing, Bristol and Philadelphia.
20. Li, W. (1994). Fuzzy Logic-Based Perception-Action Behavior Control of a Mobile Robot in Uncertain Environments, Proc. IEEE Intl Conf on Fuzzy Systems, pp. 1626-1631.
21. McCrae, R. R. (2002).Cross-Cultural Research on the Five-Factor Model of Personality, -
22. Martines-Miranda J., Aldea A. (2002) A Social Agent Model to Simulate Human Behavior in Teamwork, 31 Workshop on Agent-Based Simulation, Passau, Germany.
23. Michaud, F. (1997). Selecting Behaviors Using Fuzzy Logic, IEEE Intl Conf on Fuzzy Systems, Barcelona, Spain.
24. Mitaim, S., Kosko. B. (1998). Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching, Presence, 7:6 (Dec. 1998), 617-637.
25. Oren, T.I. (1987). Model Update: A Model Specification Formalism with a Generalized View of Discontinuity. Proceedings of the Summer Computer Simulation Conference, Montreal, Quebec, Canada, pp. 6 89-694.
26. Oren, T.I. (1991). Dynamic Templates and Semantic Rules for Simulation Advisors and Certifiers. Knowledge-Based Simulation: Methodology and Application, P.A. Fishwick and R.B. Modjeski (Eds). Springer-Verlag, Berlin, Heidelberg, New York, Tokyo, 53-76.
27. Oren, T.L, Ghasem-Aghaee, N. (2003a). Personality Representation Processable in Fuzzy Logic for Human Behavior Simulation, Proceedings of the 2003 Summer Simulation Conference, Montreal, PQ., Canada.
28. Oren, T.1., Ghaseni-Aghaee, N, 2003b -In Preparation A Functional Decomposition of Intelligent Agents with Personality
29. Piedmont, R., L. (1997). Test Review: The NEO-PI-R. htlp:/Jaac.ncat.edu/newsnotes/y97fall.html
30. Pitts, G.N. (2002). Research Project: A Fuzzy Logic Inference Engine for Simulation-Based ITS, http://www.cs.trinity.edu/Main Attractions/TheVirtualReality-Project/prj2.html
31. Rousseau D.; and Hayes-Roth B. (1997) Improvisational Synthetic Actors with Flexible Personalities Research Report KSL 97-10 Knowledge Systems Laboratory, Stanford University.
32. Shoham, Y. (1993). Agent Oriented Programming, Artficial Intelligence, 60:1, 5 1-92.
33. Sloman, A. (1997). What sort of Architecture is Required for a Human-like Agent?, M Wooldridge and A. Rao (eds.) Foundations of Rational Agency, Kiuwer Academic Publishers, -
34. Urban Ch.; and Schmidt B. (2001) Agent-Based Modeling of Human Behavior Emotional and Intelligent -The Tangled Knot of Social Cognition, AAAI Fall Symposium Series, North Falmouth, MA.
35. Velasquez, J.D. (1997). Modeling Emotion and Other Motivations in Synthetic Agents Proceedings of AAAI 97.
36. Velasquez, J.D. (1999). From Affect Programs to Higher Cognitive Emotions: An Emotion-Based Control Approach. Online Proceedings of the Workshop on Emotion-Based Agent Architectures (EBAA 99).
37. Yan. J., Ryan, M., Power, J. (1994). Using Fuzrv Logic, Towards Intelligent Systems, Prentice Hall. 1994, p.29.
38. Zadeh, L. A. (1965). Fuzzy Sets, Information and Control 8:3. 338-353
39. Zadeh, L.A. (1973). Outline of a New Approach to the Analysis of Complex Systems and Decision Processes, IEEE Trans. Svst. Man Cyberneicst, SMC-3 pp. 28-44.
40. Zadeh, L.A. (1975). The Concept of a Linguistic Variable and Its Applications to Approximate Reasoning, Information Sci. 8.