Abstraction of an affective-cognitive decision making model based on simulated behaviour and perception chains

Authors:
Alexei Sharpanskykh;Jan Treur
Affiliations:
Vrije Universiteit Amsterdam, Department of Artificial Intelligence, Amsterdam, The Netherlands;Vrije Universiteit Amsterdam, Department of Artificial Intelligence, Amsterdam, The Netherlands
Venue:
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Year:
2011

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Abstract

Employing rich internal agent models of actors in large-scale sociotechnical systems often results in scalability issues. The problem addressed in this paper is how to improve computational properties of a complex internal agent model, while preserving its behavioral properties. The problem is addressed for the case of an existing affective-cognitive decision making model instantiated for an emergency scenario. For this internal decision model an abstracted behavioral agent model is obtained, which ensures a substantial increase of the computational efficiency at the cost of approximately 1% behavioural error. The abstraction technique used can be applied to a wide range of internal agent models with loops, for example, involving mutual affective-cognitive interactions.