Abstract
The integration between emotion and cognition can provide an important support for adaptation and decision-making under resource-bounded conditions, typical of real-world domains. The ability to adjust cognitive activity and to take advantage of emotion-modulated memories are two main aspects resulting from that integration. In this paper we address those issues under the framework of the agent flow model, describing the formation of emotional memories and the regulation of their use through attention focusing. Experimental results from simulated rescue scenarios show how the proposed approach enables effective decision making and fast adaptation rates in completely unknown environments.
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Morgado, L., Gaspar, G. (2005). Adaptation and Decision-Making Driven by Emotional Memories. In: Bento, C., Cardoso, A., Dias, G. (eds) Progress in Artificial Intelligence. EPIA 2005. Lecture Notes in Computer Science(), vol 3808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595014_11
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DOI: https://doi.org/10.1007/11595014_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30737-2
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