Building Emotional Agents for Strategic Decision Making

Bexy Alfonso, Emilio Vivancos, Vicente Botti, Penélope Hernández

Abstract

Experimental economics has many works that demonstrate the influence of emotions and affective issues on the process of human strategic decision making. Personality, emotions and mood produce biases on what would be considered the strategic solution (Nash equilibrium) to many games. %CAMBIO% Thus considering these issues on simulations of human behavior may produce results more aligned with real situations. We think that computational agents are a suitable %CAMBIO% technology to simulate such phenomena. We propose to use O3A, an Open Affective Agent Architecture to model rational and affective agents, in order to perform simulations where agents must take decisions as close as possible to humans. The approach evaluation is performed trough the classical `prisoner dilemma' and `trust' games.

References

  1. Alfonso, B., Vivancos, E., and Botti, V. J. (2014). An Open Architecture for Affective Traits in a BDI Agent. In In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (ECTA2014), pages 320-325.
  2. Ashlock, D. and Rogers, N. (2008). A model of emotion in the prisoner's dilemma. In IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB'08, pages 272-279.
  3. Axelrod, R. and Hamilton, W. D. (1981). The Evolution of Cooperation. Science, 211(4489):1390-1396.
  4. Bechara, A., Damasio, H., Tranel, D., and Damásio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275(5304):1293- 1295.
  5. Becker-Asano, C. and Wachsmuth, I. (2010). Affective computing with primary and secondary emotions in a virtual human. AAMAS 7810, 20(1):32-49.
  6. Berg, J., Dickhaut, J., and McCabe, K. (1995). Trust, reciprocity, and social history. Games and economic behavior, 10(1):122-142.
  7. Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming multi-agent systems in AgentSpeak using Jason. Wiley.
  8. Bracht, J. and Feltovich, N. (2008). Efficiency in the trust game: an experimental study of precommitment. International Journal of Game Theory, 37(1):39-72.
  9. Cornelius, R. R. (2000). Theoretical approaches to emotion. In ISCA Tutorial and Research Workshop (ITRW) on Speech and Emotion.
  10. Damásio, A. R. (1994). Descartes' error: emotion, reason, and the human brain. Quill.
  11. Demaree, H. A., DeDonno, M. A., Burns, K. J., Feldman, P., and Everhart, D. E. (2009). Trait dominance predicts risk-taking. Personality and Individual Differences, 47(5):419-422.
  12. Ekman, P. (1999a). Basic Emotions, pages 45-60. John Wiley & Sons, Ltd.
  13. Ekman, P. (1999b). Facial expressions, chapter 16, pages 301-320. The Handbook of Cognition and Emotion. John Wiley & Sons, Ltd.
  14. Elbanna, S. (2006). Strategic decision-making: Process perspectives. International Journal of Management Reviews, 8(1):1-20.
  15. Gebhard, P. (2005). ALMA: a layered model of affect. In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, pages 29-36, NY, USA. ACM.
  16. Harrison, G. W. and Rutström, E. E. (2008). Risk aversion in the laboratory. Research in experimental economics, 12:41-196.
  17. Jiang, H., Vidal, J. M., and Huhns, M. N. (2007). EBDI: An Architecture for Emotional Agents. In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, pages 11:1- 11:3. ACM.
  18. LeDoux, J. E. (1998). The emotional brain: the mysterious underpinnings of emotional life. A Touchstone book. Simon & Schuster.
  19. Lerner, J. S., Small, D. A., and Loewenstein, G. (2004). Heart strings and purse strings: Carryover effects of emotions on economic decisions. Psychological Science, 15(5):337-41.
  20. Loewenstein, G., Weber, E. U., Hsee, C. K., and Welch, N. (2001). Risk as Feelings. Psychological Bulletin, 127(2):267-286.
  21. Marsella, S. C. and Gratch, J. (2009). Ema: A process model of appraisal dynamics. Cognitive Systems Research, 10(1):70-90.
  22. Marsella, S. C., Gratch, J., and Petta, P. (2010). Computational models of emotion. In A Blueprint for Affective Computing: A Sourcebook and Manual, Affective Science, pages 21-46. OUP Oxford.
  23. McCrae, R. R. and John, O. P. (1992). An introduction to the five-factor model and its applications. Journal of personality, 60(2):175-215.
  24. Mehrabian, A. (1996a). Analysis of the big-five personality factors in terms of the pad temperament model. Australian Journal of Psychology, 48(2):86-92.
  25. Mehrabian, A. (1996b). Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament. Current Psychology, 14(4):261-292.
  26. Mehrabian, A. (1997). Comparison of the PAD and panas as models for describing emotions and for differentiating anxiety from depression. Journal of Psychopathology and Behavioral Assessment, 19(4):331-357.
  27. Mehrabian, A. and Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
  28. Ortony, A. (2003). On Making Believable Emotional Agents Believable. In Trapple, R. P., Petta, P., and Payer, S., editors, Emotions in Humans and Artifacts, chapter 6, pages 189-212. MIT Press.
  29. Ortony, A., Clore, G. L., and Collins, A. (1988). The Cognitive Structure of Emotions. Cambridge University Press.
  30. Ortony, A., Norman, D. A., and Revelle, W. (2005). Affect and Proto-Affect in Effective Functioning. In Who needs emotions. The brain meets the machine., pages 173-302. J.M. Fellous & M.A. Arbib.
  31. Pessoa, L. (2008). On the relationship between emotion and cognition. Nature Reviews Neuroscience, 9(2):148- 158.
  32. Ryckman, R. M. (2007). Theories of Personality. PSY 235 Theories of Personality Series. Thomson/Wadsworth.
  33. Santos, R., Marreiros, G., Ramos, C., Neves, J., and BulasCruz, J. (2010). Using personality types to support argumentation. In Argumentation in Multi-Agent Systems, pages 292-304. Springer.
  34. Scherer, K. R. (2001). Appraisal considered as a process of multilevel sequential checking. Appraisal processes in emotion: Theory, methods, research, 92:120.
  35. Schwenk, C. R. (1984). Cognitive simplification processes in strategic decision-making. Strategic management journal, 5(2):111-128.
  36. Seo, M.-G., Goldfarb, B., and Barrett, L. F. (2010). Affect and the framing effect within individuals over time: Risk taking in a dynamic investment simulation. Academy of Management Journal, 53(2):411-431.
  37. Sewell, M. (2010). Emotions Help Solve the Prisoner's Dilemma. In Behavioural Finance Working Group Conference: Fairness, Trust and Emotions in Finance, London, pages 1-2.
  38. Swope, K. J., Cadigan, J., Schmitt, P. M., and Shupp, R. (2008). Personality preferences in laboratory economics experiments. The Journal of Socio-Economics, 37(3):998-1009.
  39. Tucker, A. (1983). The mathematics of Tucker: A sampler. The Two-Year College Mathematics Journal, 14(3):228-232.
  40. Weiss, G. (1999). Multiagent systems: a modern approach to distributed artificial intelligence. MIT press.
  41. Zadra, J. R. and Clore, G. L. (2011). Emotion and perception: The role of affective information. Wiley Interdisciplinary Reviews: Cognitive Science, 2(6):676-685.
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Paper Citation


in Harvard Style

Alfonso B., Vivancos E., Botti V. and Hernández P. (2015). Building Emotional Agents for Strategic Decision Making . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 390-397. DOI: 10.5220/0005204703900397


in Bibtex Style

@conference{icaart15,
author={Bexy Alfonso and Emilio Vivancos and Vicente Botti and Penélope Hernández},
title={Building Emotional Agents for Strategic Decision Making},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={390-397},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005204703900397},
isbn={978-989-758-074-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Building Emotional Agents for Strategic Decision Making
SN - 978-989-758-074-1
AU - Alfonso B.
AU - Vivancos E.
AU - Botti V.
AU - Hernández P.
PY - 2015
SP - 390
EP - 397
DO - 10.5220/0005204703900397