Emotional cognitive agents with adaptive ontologies

Authors:
Leonid I. Perlovsky
Affiliations:
Visiting Scholar at Harvard University and Air Force Research Laboratory, Hanscom AFB, MA
Venue:
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Year:
2007

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Abstract

An unsolved problem in AIS is adaptive ontologies. Semantic Web requires flexible ontologies adaptive to user needs and to Web contents. The paper describes emotional intelligent agents with adaptive ontologies. Their emotions are essential part of intelligence and inseparable from cognition. Particular emotions important for adaptation are aesthetic emotions related to the knowledge instinct. We describe mathematical mechanisms involved, and analyze the role of emotions in cognition, language, and adaptive ontologies.