An Adaptive Affective Social Decision Making Model

O. Sharpanskykh, J. Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Social decision making under stressful circumstances may involve strong emotions and contagion from others, and requires adequate prediction and valuation capabilities. In this paper based on principles from Neuroscience an adaptive agent-based computational model is proposed to address these aspects in an integrative manner. Using this model adaptive decision making of an agent in an emergency evacuation scenario is explored. By simulation computational learning mechanisms are identified required for effective decision making of agents.
Original languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2012
Subtitle of host publicationProceedings of the Third Annual Meeting of the BICA Society
EditorsR. Pirrone
PublisherSpringer Verlag
Pages299-308
Number of pages10
ISBN (Electronic)9783642342745
DOIs
Publication statusPublished - 2013
EventThird International Conference on Biologically Inspired Cognitive Architectures, BICA'12 -
Duration: 1 Jan 20121 Jan 2012

Publication series

NameAdvances in intelligent systems and computing
Volume196
ISSN (Electronic)2194-5357

Conference

ConferenceThird International Conference on Biologically Inspired Cognitive Architectures, BICA'12
Period1/01/121/01/12

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