Modeling self-deception within a decision-theoretic framework

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.

• Type: Journal
• Year: 2010
• Where: AAMAS
• Authors: Jonathan Y. Ito, David V. Pynadath, Stacy C. Marsella
• Keywords: AAMAS 2010, Actual Decision-making Process, Belief State, Human Belief Maintenance, Intelligent Agents