Self-organisation, (M, R)–systems and enactive cognitive science

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Tomasz Korbak
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引用次数: 1

Abstract

The notion of self-organisation plays a major role in enactive cognitive science. In this paper, I review several formal models of self-organisation that various approaches in modern cognitive science rely upon. I then focus on Rosen’s account of self-organisation as closure to efficient cause and his argument that models of systems closed to efficient cause – (M, R) systems – are uncomputable. Despite being sometimes relied on by enactivists this argument is problematic it rests on assumptions unacceptable for enactivists: that living systems can be modelled as time-invariant and material-independent. I then argue that there exists a simple and philosophically appealing reparametrisation of (M, R)–systems that accounts for the temporal dimensions of life but renders Rosen’s argument invalid.
自组织,(M, R) -系统和行动认知科学
自组织的概念在动作认知科学中起着重要的作用。在本文中,我回顾了现代认知科学的各种方法所依赖的几个正式的自组织模型。然后,我将重点介绍罗森将自组织描述为有效原因的封闭性,以及他认为有效原因封闭性的系统模型(M, R)系统是不可计算的。尽管这一论点有时会被执行者所依赖,但它是有问题的,它建立在执行者无法接受的假设之上:生命系统可以被建模为时不变和物质独立的。然后,我认为存在一种简单且具有哲学吸引力的(M, R)系统的重新参数化,它解释了生命的时间维度,但使罗森的论点无效。
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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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