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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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