PETEEI: A PET with evolving emotional intelligence

Magy Seif El-Nasr, Thomas R. Ioerger, John Yen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

Abstract

The emergence of what is now called `emotional intelligence' has revealed yet another aspect of human intelligence. Emotions have been shown to have a major impact on many of our everyday functions, including decision-making, planning, communication, and behavior. AI researchers have recently acknowledged this major role that emotions play, and thus have began to incorporate models for simulating emotions into agents. However, the emotional process is not a simple process; it is often linked with many other processes, one of which is learning. It has long been emphasized in psychology that memory and experience help shape the dynamic nature of the emotional process. In this paper, we introduce PETEEI (a PET with Evolving Emotional Intelligence). PETEEI is based on a fuzzy logic model for simulating emotions in agents, with a particular emphasis on incorporating various learning mechanisms so that an agent can adapt its emotions according to its own experience. Additionally, PETEEI is designed to recognize and cope with the various moods and emotional responses of its owner. A user evaluation experiment indicated that simulating the dynamic emotional process through learning provides a significantly more believable agent.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Autonomous Agents
Pages9-15
Number of pages7
StatePublished - 1999
EventProceedings of the 1999 3rd International Conference on Autonomous Agents - Seattle, WA, USA
Duration: May 1 1999May 5 1999

Other

OtherProceedings of the 1999 3rd International Conference on Autonomous Agents
CitySeattle, WA, USA
Period5/1/995/5/99

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

El-Nasr, M. S., Ioerger, T. R., & Yen, J. (1999). PETEEI: A PET with evolving emotional intelligence. In Proceedings of the International Conference on Autonomous Agents (pp. 9-15)