Agents, emotional intelligence and fuzzy logic

Magy Seif El-Nasr, John Yen

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

15 Scopus citations

Abstract

Emotions were proven to lead an important role in human intelligence. Intelligent agents' research produced many emotional agents. Research on human psychology had long considered the notion of an emotion (e.g., happy) to be a matter of degree; however, most existing research on emotional intelligent agents treat emotions as a black-and-white matter. We are proposing a model called FLAME-Fuzzy Logic Adaptive Model of Emotions. FLAME was modeled to produce emotions and to simulate the emotional intelligence process. FLAME was built using fuzzy rules to explore the capability of fuzzy logic in modeling the emotional process. Fuzzy logic helped us in capturing the fuzzy and complex nature of emotions. Throughout the paper we try to point out the advantages of using fuzzy modeling over conventional models to simulate a better illusion of reality.

Original languageEnglish (US)
Title of host publication1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998
EditorsLawrence O. Hall, Jim Bezdek
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages301-305
Number of pages5
ISBN (Electronic)0780344537
DOIs
StatePublished - Jan 1 1998
Event1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998 - Pensacola Beach, United States
Duration: Aug 20 1998Aug 21 1998

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

Other1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998
CountryUnited States
CityPensacola Beach
Period8/20/988/21/98

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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