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.
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Sharpanskykh, A., Treur, J. (2013). An Adaptive Affective Social Decision Making Model. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34274-5_52
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DOI: https://doi.org/10.1007/978-3-642-34274-5_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34273-8
Online ISBN: 978-3-642-34274-5
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