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.
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Ito, J.Y., Pynadath, D.V., Marsella, S.C. (2008). Modeling Self-deception within a Decision-Theoretic Framework. In: Prendinger, H., Lester, J., Ishizuka, M. (eds) Intelligent Virtual Agents. IVA 2008. Lecture Notes in Computer Science(), vol 5208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85483-8_33
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DOI: https://doi.org/10.1007/978-3-540-85483-8_33
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