Modeling Self-deception within a Decision-Theoretic Framework
Identifieur interne : 001386 ( Main/Exploration ); précédent : 001385; suivant : 001387Modeling Self-deception within a Decision-Theoretic Framework
Auteurs : Y. Ito [États-Unis] ; V. Pynadath [États-Unis] ; C. Marsella [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-85483-8_33
Affiliations:
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