Hong Jiang
Jose M. Vidal
Michael N. Huhns
ABSTRACT
Most of the research on multiagent systems has focused on the development of rational utility-maximizing agents. However, research shows that emotions have a strong effect on peoples' physical states, motivations, beliefs, and desires. By introducing primary and secondary emotion into BDI architecture, we present a generic architecture for an emotional agent, EBDI, which can merge various emotion theories with an agent's reasoning process. It implements practical reasoning techniques separately from the specific emotion mechanism. The separation allows us to plug in emotional models as needed or upgrade the agent's reasoning engine independently.
- A. R. Damasio. Descartes' Error: Emotion, Reason, and the Human Brain. Avon Books, New York, 1994.Google Scholar
- N. H. Frijda, A. S. R. Manstead, and S. Bem, editors. Emotions and Beliefs: How Feelings Influence Thoughts. Cambridge Univ. Press, New York, 2000.Google ScholarCross Ref
- P. Kleinginna and A. Kleinginna. A categorized list of emotion definitions, with suggestions for a consensual definition. Motivation and Emotion, 5:345--379, 1981.Google ScholarCross Ref
- D. Pereira, E. Oliveira, N. Moreira, and L. Sarmento. Towards an architecture for emotional bdi agents. In EPIA '05: Proceedings of 12th Portuguese Conference on Artificial Intelligence, pages 40--47. Springer, 2005.Google ScholarCross Ref
- M. Pollack and M. Ringuette. Introducing the tileworld: experimentally evaluating agent architectures. In Proceedings of the Eighth National Conference on Artificial Intelligence. AAAI Press. Google ScholarDigital Library
- U. Wilensky. NetLogo: Center for connected learning and computer-based modeling, Northwestern University. Evanston, IL, 1999. http://ccl.northwestern.edu/netlogo/.Google Scholar
- M. J. Wooldridge. An introduction to multiagent systems. John Wiley & Sons, LTD, Baffins Lane, Chichester, West Sussex, England, 2001. Google ScholarDigital Library
Index Terms
- EBDI: an architecture for emotional agents
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