Bridging developmental systems theory and evolutionary psychology using dynamic optimization

被引：41

作者：

Frankenhuis, Willem E. ^{[1
,2
]}

Panchanathan, Karthik ^{[3
]}

Barrett, H. Clark ^{[4
,5
]}

机构：

[1] Radboud Univ Nijmegen, Dept Dev Psychol, Inst Behav Sci, NL-6500 HE Nijmegen, Netherlands

[2] Cent European Univ, Cognit Dev Ctr, Budapest, Hungary

[3] Univ Missouri, Dept Anthropol, Columbia, MO 65211 USA

[4] Univ Calif Los Angeles, UCLA Dept Anthropol, Ctr Behav Evolut & Culture, Los Angeles, CA USA

[5] Univ Calif Los Angeles, FPR UCLA Ctr Culture Brain & Dev, Los Angeles, CA USA

来源：

DEVELOPMENTAL SCIENCE | 2013年 / 16卷 / 04期

关键词：

HUMAN-BEHAVIOR; LICKLITER; GROWTH; MECHANISMS; PLASTICITY; EXPERIENCE; MODELS; CONSEQUENCES; MAINTENANCE; CONTINGENCY;

D O I：

10.1111/desc.12053

中图分类号：

B844 [发展心理学（人类心理学）];

学科分类号：

040202 ;

摘要：

Interactions between evolutionary psychologists and developmental systems theorists have been largely antagonistic. This is unfortunate because potential synergies between the two approaches remain unexplored. This article presents a method that may help to bridge the divide, and that has proven fruitful in biology: dynamic optimization. Dynamic optimization integrates developmental systems theorists' focus on dynamics and contingency with the design stance' of evolutionary psychology. It provides a theoretical framework as well as a set of tools for exploring the properties of developmental systems that natural selection might favor, given particular evolutionary ecologies. We also discuss limitations of the approach.

引用

页码：584 / 598

页数：15

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