Integrating social and cognitive aspects of belief dynamics: towards a unifying framework

被引:46
作者
Galesic, Mirta [1 ,2 ]
Olsson, Henrik [1 ]
Dalege, Jonas [1 ]
van der Does, Tamara [1 ]
Stein, Daniel L. [1 ,3 ,4 ,5 ]
机构
[1] Santa Fe Inst, 1399 Hyde Pk Rd, Santa Fe, NM 87501 USA
[2] Complex Sci Hub Vienna, Vienna, Austria
[3] NYU, Dept Phys, 4 Washington Pl, New York, NY 10003 USA
[4] NYU, Courant Inst Math Sci, New York, NY USA
[5] NYU Shanghai, NYU ECNU Inst Phys & Math Sci, Shanghai, Peoples R China
基金
美国国家科学基金会; 美国食品与农业研究所;
关键词
belief dynamics models; model comparison; statistical physics; theoretical framework; STATISTICAL PHYSICS; FORMING IMPRESSIONS; CONNECTIONIST MODEL; ATTITUDE STRUCTURE; ROBUST BEAUTY; EVOLUTION; AMBIVALENCE; IDENTITY; OPINION; DISSONANCE;
D O I
10.1098/rsif.2020.0857
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:13
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