Modeling Self-deception within a Decision-Theoretic Framework

Authors:
Jonathan Y. Ito;David V. Pynadath;Stacy C. Marsella
Affiliations:
Information Sciences Institute, University of Southern California, Marina del Rey, USA CA 90292;Information Sciences Institute, University of Southern California, Marina del Rey, USA CA 90292;Information Sciences Institute, University of Southern California, Marina del Rey, USA CA 90292
Venue:
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Year:
2008

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Abstract

Computational modeling of human belief maintenance and decision-making processes has become increasingly important for a wide range of applications. In this paper, we present a framework for modeling the human capacity for self-deception from a decision-theoretic perspective in which we describe processes for determining a desired belief state, the biasing of internal beliefs towards the desired belief state, and the actual decision-making process based upon the integrated biases. Furthermore, we show that in some situations self-deception can be beneficial.