Network science on belief system dynamics under logic constraints
Author(s) -
Noah E. Friedkin,
Anton V. Proskurnikov,
Roberto Tempo,
Sergei Parsegov
Publication year - 2016
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aag2624
Subject(s) - convergence (economics) , set (abstract data type) , computer science , contrast (vision) , belief revision , dynamics (music) , affect (linguistics) , epistemology , group (periodic table) , psychology , theoretical computer science , artificial intelligence , communication , economics , philosophy , pedagogy , programming language , economic growth , chemistry , organic chemistry
Breakthroughs have been made in algorithmic approaches to understanding how individuals in a group influence each other to reach a consensus. However, what happens to the group consensus if it depends on several statements, one of which is proven false? Here, we show how the existence of logical constraints on beliefs affect the collective convergence to a shared belief system and, in contrast, how an idiosyncratic set of arbitrarily linked beliefs held by a few may become held by many.
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