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.
|Name||Advances in intelligent systems and computing|
|Conference||Third International Conference on Biologically Inspired Cognitive Architectures, BICA'12|
|Period||1/01/12 → 1/01/12|