迈向经验科学:概述一些挑战和未来方向

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Adaptive Behavior Pub Date : 2022-04-17 DOI:10.1177/10597123221084739
C. Valenzuela-Moguillansky, E. Demšar
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引用次数: 4

摘要

近几十年来,经验的实证研究已经成为研究认知现象的一个相关和必要的元素。然而,它在很大程度上是通过遵循客观主义的参考框架而被纳入认知科学的,而没有重新考虑研究过程以及对结果的解释和验证所涉及的实践和标准。这引发了许多问题,揭示了对第一人称研究某些关键方面的理解和处理不一致。在这篇文章中,我们将概述一个研究方向,旨在帮助建立一个研究经验的框架,以解决这些不一致的问题。具体而言,我们将确定经验研究面临的一些挑战,特别是那些与理解记忆、表达和描述以及探索经验的主体间性有关的挑战,并建议在行为方法的认识论框架下重新定义它们。此外,我们将探索通过将我们的视野从认知科学领域扩展到邻近领域,特别是身体实践领域,深入了解处理这些问题的理论和方法论策略的前景。
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Toward a science of experience: Outlining some challenges and future directions
In recent decades, empirical study of experience has been installed as a relevant and necessary element in researching cognitive phenomena. However, its incorporation into cognitive science has been largely done by following an objectivist frame of reference, without reconsidering the practices and standards involved in the process of research and the interpretation and validation of the results. This has given rise to a number of issues that reveal inconsistencies in the understanding and treatment of some crucial aspects of first-person research. In this article, we will outline a research direction aiming at contributing to the establishment of a framework for the study of experience that addresses these inconsistencies. Specifically, we will identify some challenges facing the study of experience—in particular those linked to the understanding of memory, expression and description, and intersubjectivity in exploring experience—and propose to reframe them under the epistemological framework of the enactive approach. Moreover, we will explore the prospect of gaining insight into theoretical and methodological strategies for dealing with these issues by extending our vision beyond the field of cognitive science to its neighboring fields, focusing in particular on the field of somatic practices.
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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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