Modeling Self-Deception within a Decision-Theoretic Framework

“Modeling Self-Deception within a Decision-Theoretic Framework” by Jonathan Y. Ito, David V. Pynadath, and Stacy C. Marsella. In Proceedings of the Conference of Intelligent Virtual Agents IVA, Sep. 2008, pp. 322-333.

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.

BibTeX entry:

@inproceedings{ItoIVA08,
   author = {Jonathan Y. Ito and David V. Pynadath and Stacy C. Marsella},
   title = {Modeling Self-Deception within a Decision-Theoretic Framework},
   booktitle = {Proceedings of the Conference of Intelligent Virtual
	Agents {IVA}},
   pages = {322-333},
   month = sep,
   year = {2008},
   url = {http://www.ccs.neu.edu/~marsella/publications/pdf/ItoIVA08.pdf}
}

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