避免生态认知中的有机体不对称:基于生态物理变量的agent-environment耦合分析

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
L. Seifert, D. Araújo, K. Davids
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引用次数: 1

摘要

目标文章提倡对人类行为的行为方法,强调主体-环境耦合的现象学,并植根于反思前自我意识的经验过程。在我们的评论中,我们讨论了经验确实等同于主观性的观点。这样的等式反映了行为组织在主观思维中与客观世界互动的组织不对称性。相反,生态现实主义的观点认为,人类的行为和经验应该在分析的生态层面上捕捉,需要对生态物理变量进行调查。为了实现这一目标,研究人员需要避免组织不对称,而是研究支撑代理-环境系统对称性的性能变量。我们还讨论了语言的位置,以及语言表达并不等同于主观经验这一事实。詹姆斯·吉布森认为,语言关注的是“关于环境的知识”,而不是任何自主、自我调节的有机体在世界上生存所需的“环境知识”。最后,目标论文提倡形成过程,以补充经验过程,但没有充分解释如何处理实现特定活动的言语和行为方面的发现之间的潜在不一致和分歧(“我们说什么,我们做什么”之间的区别)。最后,我们考虑了我们的生态视角如何为所提出的制定方法提供超越形成过程的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Avoiding organismic asymmetries in ecological cognition: Analysis of agent-environment couplings with eco-physical variables
The target article promotes an enactive approach to human behaviour, highlighting the phenomenology of agent-environment coupling, and is rooted in the course of experience from pre-reflective self-consciousness. In our comment we debate the idea that experience does equate with subjectivity. Such an equation reflects an organismic asymmetry locating behavioural organisation in the subjective mind, interacting with the objective world. In contrast, an ecological realist perspective considers that human behaviour and experience should be captured at the ecological level of analysis, requiring investigation of eco-physical variables. To achieve this aim, researchers need to avoid organismic asymmetries, and instead study performance variables that underpin the symmetry of the agent-environment system. We also debate the place of language and the fact that verbalisation does not equate with subjective experience. According to James Gibson, language focuses on ‘knowledge about the environment’ and not ‘knowledge of the environment’ needed by any autonomous, self-regulating organism, making their way in the world. Last, the target paper promotes the course of in-formation to complement the course of experience, without fully explaining how to deal with potential incongruence and divergence between findings emerging from verbalisation and behavioural aspects of realizing a given activity (the difference between ‘what we say, what we do’). We conclude by considering how our ecological perspective could offer pathways for the presented enactive approach to go beyond the course of in-formation.
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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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