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EBDI: an architecture for emotional agents
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International Conference on Autonomous Agents archive
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems table of contents
Honolulu, Hawaii
SESSION: Embodied agents and architectures: poster papers table of contents
Article No. 11  
Year of Publication: 2007
ISBN:978-81-904262-7-5
Authors
Hong Jiang  University of South Carolina, Columbia, SC
Jose M. Vidal  University of South Carolina, Columbia, SC
Michael N. Huhns  University of South Carolina, Columbia, SC
Sponsor
: IFAAMAS
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
A. R. Damasio. Descartes' Error: Emotion, Reason, and the Human Brain. Avon Books, New York, 1994.
 
2
N. H. Frijda, A. S. R. Manstead, and S. Bem, editors. Emotions and Beliefs: How Feelings Influence Thoughts. Cambridge Univ. Press, New York, 2000.
 
3
P. Kleinginna and A. Kleinginna. A categorized list of emotion definitions, with suggestions for a consensual definition. Motivation and Emotion, 5:345--379, 1981.
 
4
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.
 
5
M. Pollack and M. Ringuette. Introducing the tileworld: experimentally evaluating agent architectures. In Proceedings of the Eighth National Conference on Artificial Intelligence. AAAI Press.
 
6
U. Wilensky. NetLogo: Center for connected learning and computer-based modeling, Northwestern University. Evanston, IL, 1999. http://ccl.northwestern.edu/netlogo/.
 
7


Collaborative Colleagues:
Hong Jiang: colleagues
Jose M. Vidal: colleagues
Michael N. Huhns: colleagues