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학술대회 A Neuroscientific Approach to Emotion System for Intelligent Agents
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저자
박건용, 이승익, 김중배
발행일
200608
출처
International Conference on Embedded and Ubiquitous Computing (EUC) 2006 (LNCS 4096), v.4096, pp.997-1006
DOI
https://dx.doi.org/10.1007/11802167_100
협약과제
06MI1100, URC용 임베디드 소프트웨어 플랫폼 및 미들웨어 개발, 김중배
초록
For an agent to be believable, emotion is an essential part of the human-computer interaction. In this paper, we propose a dynamic affective system, inspired from neuroscience. The system comprises four modules: an appraisal module, an emotion-generation module, an emotional expression module, and a long-term memory (LTM). The appraisal module gathers environmental stimuli and evaluates them to see if they are rewarding or punishing. Based on the results of the appraisal module and the agent's internal stimuli, the emotion-generation module generates the affective states of the agent. The emotional expression module combines and expresses emotional behaviors in accordance with the affective states. As a result, the proposed affective system can generate various emotions simultaneously and produces emotional life-like expressions. © IFIP International Federation for Information Processing 2006.
KSP 제안 키워드
Affective states, Affective system, Emotional expression, Environmental stimuli, Intelligent agents, International federation, Long-term memory, human computer interaction(HCI), information processing, life-like