Author’s reply to the commentaries: Clearing up misunderstandings about the course-of-experience framework and laying the groundwork for future discussions

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
G. Poizat, Simon Flandin, J. Theureau
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引用次数: 0

Abstract

In the context of this special issue on the course-of-experience framework, we were fortunate to receive far-reaching commentaries from a wide variety of disciplines including enaction, phenomenology, ecological psychology, ecological dynamics, cognitive anthropology and archaeology and the philosophy of mind. The result is an extraordinarily rich set of reflections that critically engage in debate and lay the groundwork for future discussions and empirical research. In this reply, the authors try to highlight the originality of the course-of-experience framework, which is not yet widely known but has the potential to offer a breakthrough in the present-day international ecological-enactive mainstream and an alternative to (Husserlian) phenomenologically inspired enactivist approaches. They also try to set things right concerning the critical dimensions of cognitive ecology, such as the role of material and ‘others’ that they didn’t mention in their original article (in view of the objectives pursued).
作者对评论的回复:澄清对经验过程框架的误解,为今后的讨论奠定基础
在这个关于经验过程框架的特刊的背景下,我们很幸运地收到了来自各种学科的深远评论,包括制定学、现象学、生态心理学、生态动力学、认知人类学、考古学和心灵哲学。其结果是一套极其丰富的反思,批判性地参与辩论,为未来的讨论和实证研究奠定基础。在这个回答中,作者试图强调经验过程框架的原创性,它尚未广为人知,但有可能在当今国际生态行动主义主流中提供突破,并替代(胡塞尔)现象学启发的行动主义方法。他们还试图纠正认知生态学的关键维度,比如他们在原始文章中没有提到的物质和“他者”的作用(考虑到所追求的目标)。
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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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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