A Computational Cognitive Model of Self-monitoring and Decision Making for Desire Regulation

Abstract

Desire regulation can make use of different regulation strategies; this implies an underlying decision making process, which makes use of some form of self-monitoring. The aim of this work is to develop a neurologically inspired computational cognitive model of desire regulation and these underlying self-monitoring and decision making processes. In this model four desire regulation strategies have been incorporated. Simulation experiments have been performed based for the domain of food choice.