A Computational Model of the Belief System Under the Scope of Social Communication

This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of...

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Bibliographic Details
Published inFoundations of science Vol. 21; no. 1; pp. 215 - 223
Main Authors Pont, María Teresa Signes, Mora, Higinio Mora, De Miguel Casado, Gregorio, Méndez, David Gil
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.03.2016
Springer
Springer Nature B.V
Subjects
Communication in science
Computation
Computer applications
Education
Information processing
Mathematical Logic and Foundations
Mathematics
Methodology of the Social Sciences
Methods
Nets
Philosophy
Philosophy of Science
Recursive functions
Behavioural patterns
Belief system
Social communication
Binary local rules
Recursive functions
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Summary:This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of a recursive construction pattern. Social communication is achieved when different beliefs are expressed, modified, propagated and shared through social nets. This approach is useful to mimic the belief system because the defined functions provide different ways to process the same incoming information as well as a means to propagate it. Our model also provides a means to cross different beliefs so, any incoming information can be processed many times by the same or different functions as it occurs is social nets.
ISSN:1233-1821
1572-8471
DOI:10.1007/s10699-015-9415-1