Extension of Critical Programs of the Computational Theory of Mind

P. Baryshnikov
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Abstract

Technological advances in computer science have secured the computer metaphor status of a heuristic methodological tool used to answer the question about the nature of mind. Nevertheless, some philosophers strongly support opposite opinions. Anti-computationalism in the philosophy of mind is a methodological program that uses extremely heterogeneous grounds for argumentation, deserving analysis and discussion. This article provides an overview and interpretation of the traditional criticism of the computational theory of mind (computationalism); its basic theses have been formed in Western philosophy in the last quarter of the 20th century. The main goal is to reveal the content of the arguments of typical anti-computationalist programs and expand their application to the framework of the semantic problems of the Classic Computational Theory of Mind. The main fault of the symbolic ap-proach in the classical computationalism is the absence of a full-fledged theory of semantic properties. The relevance of considering these seemingly outdated problems is justified by the fact that the problem of meaning (and general problems of semantics) remains in the core of the latest developments in various areas of AI and the principles of human-computer interaction.
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计算心智理论关键程序的扩展
计算机科学的技术进步已经确保了计算机隐喻作为启发式方法工具的地位,用于回答关于心灵本质的问题。然而,一些哲学家强烈支持相反的观点。心灵哲学中的反计算主义是一种方法论程序,它使用极其异质的理由进行论证,值得分析和讨论。本文概述和解释了对计算心理理论(计算主义)的传统批评;它的基本论点是在20世纪最后25年在西方哲学中形成的。主要目的是揭示典型的反计算主义程序的论证内容,并将其应用扩展到经典计算心理理论的语义问题框架中。经典计算主义中符号方法的主要缺陷是缺乏完整的语义特性理论。考虑这些看似过时的问题的相关性是合理的,因为意义问题(以及一般的语义问题)仍然是人工智能各个领域和人机交互原则最新发展的核心。
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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发文量
41
审稿时长
5 weeks
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