A Belief System's Organization Based on a Computational Model of the Dynamic Context: First Approximation
In this article we present a model of organization of a belief system based on a set of binary recursive functions that characterize the dynamic context that modifies the beliefs. The initial beliefs are modeled by a set of two-bit words that grow, update, and generate other beliefs
as the different experiences of the dynamic context appear. Reason is presented as an emergent effect of the experience on the beliefs. The system presents a layered structure that allows a functional organization of the belief system. Our approach seems suitable to model different ways of
thinking and to apply to different realistic scenarios such as ideologies.
Keywords: behavioral patterns; belief system; ideology; recursive functions
Document Type: Research Article
Affiliations: Computer Technology and Computation Department, University of Alicante, Alicante, Spain
Publication date: 03 October 2015
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