An Adaptive Affective Social Decision Making Model

  • Alexei SharpanskykhEmail author
  • Jan Treur
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 196)


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.


Emotional Response Preparation State Goal State Prediction Link Bodily Change 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Agent Systems Research GroupVU University AmsterdamAmsterdamThe Netherlands

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