Modeling Self-Deception within a Decision-Theoretic Framework

“Modeling Self-Deception within a Decision-Theoretic Framework” by Jonathan Ito, David Pynadath, and Stacy Marsella. Journal of Autonomous Agents and Multi-Agent Systems, vol. 20, no. 1, Jan. 2010, pp. 3-13.

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{ItoJAAMAS10,
   author = {Jonathan Ito and David Pynadath and Stacy Marsella},
   title = {Modeling Self-Deception within a Decision-Theoretic Framework},
   journal = {Journal of Autonomous Agents and Multi-Agent Systems},
   volume = {20},
   number = {1},
   pages = {3-13},
   month = jan,
   year = {2010},
   url = {http://www.ccs.neu.edu/~marsella/publications/pdf/ItoJAAMAS09.pdf}
}

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