远距离感知:再现、外在和可能性——向约翰·斯图尔特致敬

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Adaptive Behavior Pub Date : 2021-07-29 DOI:10.1177/10597123211031016
C. Lenay
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引用次数: 0

摘要

这篇文章的目的是提供一种新的方法来感知远处物体的位置。这也是对约翰·斯图尔特的致敬,他陪伴了这项研究的第一阶段。在已经在制定方法的框架内研究了围绕外部性感知问题的困难之后,我们将分两个阶段进行。第一阶段将尝试用个体感觉运动不变量来解释远端感知。这提出了问题,但未能解决。第二阶段将提出一种新的途径来解释空间感知;这一途径并不否认自我生成行为方法的最初直觉,但通过从感知阶段考虑到个体间互动的必要性,从根本上改变了认知的概念。一项原始实验研究的方案将描述这种新方法的特点,考虑到物体在远处、外部、可能性空间中的感知体验,而不脱离交互领域。要做到这一点,我们必须在感知交叉的极限下工作,也就是说,在不同主体之间的感知互惠开始消失的时刻。
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Perceiving at a distance: enaction, exteriority and possibility – a tribute to John Stewart
The aim of this article is to offer a new approach of perception regarding the position of a distant object. It is also a tribute to John Stewart who accompanied the first stages of this research. Having already examined the difficulties surrounding questions of the perception of exteriority within the framework of enactive approaches, we will proceed in two stages. The first stage will consist of an attempt to explain distal perception in terms of individual sensorimotor invariants. This poses the problem but fails to solve it. The second stage will propose a new pathway to account for spatial perception; a pathway that does not deny the initial intuitions of the autopoietic enactive approaches, but one which radically changes the conception of cognition by considering, from the perceptual stage, the need to take into account interindividual interactions. The protocol of an original experimental study will characterize this new approach considering the perceptual experience of objects at a distance, in exteriority, in a space of possibilities without parting from the domain of interaction. To do this, we have to work at the limits of the perceptual crossing, that is, at the moment when the perceptual reciprocity between different subjects begins to disappear.
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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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