An Affective Decision Making Agent Architecture Using Emotion Appraisals
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It is widely recognized that both cognitive and affective aspects play an important role in human decision making. In most recent approaches for computational modelling of affective agents emotions have a cognitive origin. In contrast to these approaches, the computational social decision making model proposed in this paper is grounded on neurological principles and theories, thus providing a deeper level of understanding of decision making. The proposed approach integrates existing neurological and cognitive theories of emotion in a decision model based on evaluation of simulated behaviour chains. The application of the proposed model is demonstrated in the context of an emergency scenario.