Modeling decisions by brains that think, feel, and vegetate

This paper summarizes three interrelated neural network models of data on emotionally influenced decision making: the first on a gambling task, the second on probability judgment, and the third on probability weighting. The networks incorporate data on executive regions of the brain and organizing principles such as adaptive resonance and fuzzy traces that have been utilized to model other cognitive data.