| Literature DB >> 33726541 |
Mirta Galesic1,2, Henrik Olsson1, Jonas Dalege1, Tamara van der Does1, Daniel L Stein1,3,4.
Abstract
Belief change and spread have been studied in many disciplines-from psychology, sociology, economics and philosophy, to biology, computer science and statistical physics-but we still do not have a firm grasp on why some beliefs change more easily and spread faster than others. To fully capture the complex social-cognitive system that gives rise to belief dynamics, we first review insights about structural components and processes of belief dynamics studied within different disciplines. We then outline a unifying quantitative framework that enables theoretical and empirical comparisons of different belief dynamic models. This framework uses a statistical physics formalism, grounded in cognitive and social theory, as well as empirical observations. We show how this framework can be used to integrate extant knowledge and develop a more comprehensive understanding of belief dynamics.Entities:
Keywords: belief dynamics models; model comparison; statistical physics; theoretical framework
Mesh:
Year: 2021 PMID: 33726541 PMCID: PMC8086875 DOI: 10.1098/rsif.2020.0857
Source DB: PubMed Journal: J R Soc Interface ISSN: 1742-5662 Impact factor: 4.118