外部表征的起源和功能

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Adaptive Behavior Pub Date : 2024-06-21 DOI:10.1177/10597123241262534
Chrisantha Fernando, Simon Osindero, Dylan Banarse
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引用次数: 0

摘要

外部表征(ER)是世界上的物体或表演,其应有的功能是传达世界上其他事物的信息。我们为什么和如何制造它们,它们又能给我们带来什么?我们以现代机器学习为基础,概述了一个思考外部表征的简单框架。我们提出了一套开放式ER生成所需的最基本神经机制。我们的建构主义能动观点与本位主义观点形成了鲜明对比,后者提出了需要符号化内部表征的专业神经模块。我们提出了一套合理的(生物和文化)进化步骤,通过一套日益复杂的ER生成主动算法,实现完全的格莱斯式符号交流。我们定义了一个实用的游戏空间,其中不仅包括完全合作的语言游戏,还包括科学、艺术和进化的信号操作游戏。这个空间是根据发送方和接收方所需学习的复杂程度来定义的。我们认为,选择灌木丛阅读是实现开放式 ER 使用的重要一步,灌木丛阅读与读心术一样,是一种推理过程,需要对时空错位事件的线索进行复杂的上下文和句法理解。灌木丛阅读使接收者预先适应,能够接受、胜任和敏锐地解释后来有意产生的关于隐蔽主题(如感觉到的心理状态)的信号。这为格莱斯最小化交流铺平了道路,而格莱斯最小化交流随后可引导为明确的心智理论、民间心理学叙事和一般符号语言。该框架整合了认知考古学的最新发现,并提出了机器学习的新实验。
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The origin and function of external representations
External representations ( ERs) are objects or performances in the world whose proper function is to communicate about other things in the world. Why and how did we make them, and what do they give us? We outline a simple framework for thinking about ERs grounded in modern machine learning. We propose a minimal set of neural mechanisms needed for open-ended ER production. Our constructivist enactive view contrasts with nativist views which propose specialist neural modules requiring symbolic internal representations. We propose a plausible set of (biological and cultural) evolutionary steps to full Gricean symbolic communication via a set of increasingly complex enactive algorithms for ER production. A pragmatic space of games is defined, which includes not only fully cooperative language games but also science, art, and evolved signal manipulation games. This space is defined by the complexity of learning needed by sender and receiver. We propose that one important step towards open-ended ER use was selection for bush reading, which like mind-reading is an inferential process requiring complex contextual and syntactic understanding of cues about events displaced in space and time. Bush reading pre-adapted receivers to be receptive, competent, and perspicacious interpreters of later intentionally produced signals about hidden topics such as felt mental states. This paved the way for minimally Gricean communication, which subsequently could be bootstrapped into explicit theories of mind, folk psychology narratives, and symbolic language in general. Recent findings in cognitive archaeology are integrated within the framework, and new experiments in machine learning suggested.
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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
期刊最新文献
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