The dynamics of action selection
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Behavior networks for continuous domains using situation-dependent motivations
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Bayesian and behavior networks for context-adaptive user interface in a ubiquitous home environment
Expert Systems with Applications: An International Journal
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In their famous work on prospect theory Kahneman and Tversky have presented a couple of examples where human decision making deviates from rational decision making as defined by decision theory. This paper describes the use of extended behavior networks to model human decision making in the sense of prospect theory. We show that the experimental findings of non-rational decision making described by Kahneman and Tversky can be reproduced using a slight variation of extended behavior networks.