Connecting with the subject of our science: Course-of-experience research supports valid theory building in cognitive science

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
M. McGann
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引用次数: 1

Abstract

This commentary addresses the course-of-experience method in the context of calls for improved theorising in psychological science, and in particular the prospect of applying distinctive means of analysis to examine patterns and variance both between people and across contexts. Psychology can benefit by the development of both theories of principle (formal accounts of the structure of phenomena) and constructive theories (formal accounts of the mechanics of phenomena). The course-of-experience method can provide a useful step toward the development of both. Resonances with other work grounded in naturalistic observation identify potential questions that remain as to how the course-of-experience method can address questions about the relationship between individual and collective aspects of experience, but the technique represents a significant boon to the future development of valid cognitive science.
与我们的科学主题相联系:经验课程研究支持认知科学的有效理论建设
这篇评论在呼吁改进心理科学理论化的背景下讨论了经验过程方法,特别是应用独特的分析方法来检查人与人之间和跨环境的模式和差异的前景。心理学可以从原理理论(现象结构的正式描述)和建构理论(现象机制的正式描述)的发展中受益。经验过程法可以为两者的发展提供有益的步骤。与基于自然主义观察的其他工作的共鸣确定了潜在的问题,即经验过程方法如何解决关于经验的个人和集体方面之间关系的问题,但该技术代表了有效认知科学未来发展的重大福音。
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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