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. Journal of Autonomous Agents and Multi-Agent Systems, 2009.

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 an integrated process of wishful thinking which includes the determination of a desired belief state, the biasing of internal beliefs towards or away from this desired belief state, and the final decision-making process. Finally, we show that in certain situations self-deception can be beneficial.

BibTeX entry:

@article{Ito:JAAMAS09,
   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 on Autonomous Agents and
	Multiagent Systems {AAMAS}},
   journal = {Journal of Autonomous Agents and Multi-Agent Systems},
   year = {2009},
   url = {http://www.ccs.neu.edu/~marsella/publications/ItoJAAMAS09.pdf}
}

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