被centaur“捕获”:不透明的预测还是过程洞察?

IF 0.9 4区 心理学 Q4 BEHAVIORAL SCIENCES
Phillip H Kieval, Cameron Buckner
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引用次数: 0

摘要

Binz等人(2025)描述了centaur——一种比其他选择更好地“捕捉”人类行为的新计算模型——可以帮助开发一种新的统一认知理论的几种方式。在这篇评论中,我们根据最近的成就和经验数据评估了其中的几个角色,建议对Centaur在发展新的人类认知解释理论中可能发挥的各种建模作用进行越来越明确的审查。(PsycInfo Database Record (c) 2025 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"Captured" by centaur: Opaque predictions or process insights?

Binz et al. (2025) describe several ways that Centaur-a new computational model that "captures" human behavior better than alternatives-can help develop a new unified theory of cognition. In this commentary, we evaluate several of these roles in light of recent achievements and empirical data, recommending increasingly explicit scrutiny of the various modeling roles that Centaur might play in developing new explanatory theories of human cognition. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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来源期刊
Journal of Experimental Psychology-Animal Learning and Cognition
Journal of Experimental Psychology-Animal Learning and Cognition Psychology-Experimental and Cognitive Psychology
CiteScore
2.90
自引率
23.10%
发文量
39
期刊介绍: The Journal of Experimental Psychology: Animal Learning and Cognition publishes experimental and theoretical studies concerning all aspects of animal behavior processes.
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