Emotion based adaptive reasoning for resource bounded agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Adaptation and decision-making driven by emotional memories
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
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The study of emotional phenomena, particularly the development of emotion models for intelligent agent implementation, has been mainly based on a perspective of emotion as a human phenomenon and on the assumption that emotions can be divided into discrete and independent categories. We propose an alternative model that emphasizes the continuous nonlinear nature of emotion processes, where emotional phenomena are rooted not on high level cognitive or even nervous structures, but on biophysical principles that are pervasive among biological organisms.