Complex Systems and Health Behavior Change: Insights from Cognitive Science

被引：14

作者：

Orr, Mark G. ^{[1
]}

Plaut, David C. ^{[2
]}

机构：

[1] Columbia Univ, Dept Epidemiol, Mailman Sch Publ Hlth, New York, NY 10027 USA

[2] Carnegie Mellon Univ, Dept Psychol, Pittsburgh, PA 15213 USA

来源：

AMERICAN JOURNAL OF HEALTH BEHAVIOR | 2014年 / 38卷 / 03期

基金：

美国国家卫生研究院;

关键词：

health behavior; behavior change; quantum change; complex systems; cognitive science; computational modeling; agent-based modeling; SOCIAL NETWORKS; NEUROSCIENCE; PERSONALITY; ATTITUDES; DYNAMICS; PATTERNS; SMOKING; QUANTUM; MODEL;

D O I：

10.5993/AJHB.38.3.9

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

Objective: To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory. Methods: We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior. Results: The model exhibited clear signs of quantum-like behavior. Conclusions: Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.

引用

页码：404 / 413

页数：10

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