“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.
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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