From Empirical Problem-Solving to Theoretical Problem-Finding Perspectives on the Cognitive Sciences.

Computational brain & behavior Pub Date : 2024-10-14 eCollection Date: 2024-12-01 DOI:10.1007/s42113-024-00216-6
Federico Adolfi, Laura van de Braak, Marieke Woensdregt
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引用次数: 0

Abstract

Meta-theoretical perspectives on the research problems and activities of (cognitive) scientists often emphasize empirical problems and problem-solving as the main aspects that account for scientific progress. While certainly useful to shed light on issues of theory-observation relationships, these conceptual analyses typically begin when empirical problems are already there for researchers to solve. As a result, the role of theoretical problems and problem-finding remain comparatively obscure. How do the scientific problems of Cognitive Science arise, and what do they comprise, empirically and theoretically? Here, we attempt to understand the research activities that lead to adequate explanations through a broader conception of the problems researchers must attend to and how they come about. To this end, we bring theoretical problems and problem-finding out of obscurity to paint a more integrative picture of how these complement empirical problems and problem-solving to advance cognitive science.

从认知科学的实证问题解决到理论问题发现视角。
关于(认知)科学家的研究问题和活动的元理论观点往往强调经验问题和解决问题是解释科学进步的主要方面。虽然这些概念分析对于阐明理论-观察关系的问题肯定是有用的,但这些概念分析通常是在研究人员已经有经验问题需要解决的时候开始的。因此,理论问题和发现问题的作用仍然比较模糊。认知科学的科学问题是如何产生的,它们在经验和理论上是由什么组成的?在这里,我们试图通过研究人员必须关注的问题以及它们是如何产生的更广泛的概念来理解导致充分解释的研究活动。为此,我们将理论问题和问题发现从默默无闻中带出来,描绘出一幅更综合的画面,说明这些问题如何补充经验问题和解决问题,以推进认知科学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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