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AI: A Semiotic Perspective
Chinese Semiotic Studies ( IF 0.2 ) Pub Date : 2019-05-30 , DOI: 10.1515/css-2019-0013
Stéphanie Walsh Matthews 1 , Marcel Danesi 2
Affiliation  

Abstract Artificial Intelligence (AI) has become a powerful new form of inquiry unto human cognition that has obvious implications for semiotic theories, practices, and modeling of mind, yet, as far as can be determined, it has hardly attracted the attention of semioticians in any meaningful analytical way. AI aims to model and thus penetrate mentality in all its forms (perception, cognition, emotion, etc.) and even to build artificial minds that will surpass human intelligence in the near future. This paper takes a look at AI through the lens of semiotic analysis, in the context of current philosophies such as posthumanism and transhumanism, which are based on the assumption that technology will improve the human condition and chart a path to the future progress of the human species. Semiotics must respond to the AI challenge, focusing on how abductive responses to the world generate meaning in the human sense, not in software or algorithms. The AI approach is instructive, but semiotics is much more relevant to the understanding of human cognition, because it studies signs as paths into the brain, not artificial models of that organ. The semiotic agenda can enrich AI by providing the relevant insight into human semiosis that may defy any attempt to model them.

中文翻译:

AI:符号学视角

摘要人工智能(AI)已经成为人类认知的一种强大的新查询形式,对符号学理论,实践和心智建模有着明显的暗示,然而,就可以确定的而言,它几乎没有引起符号学研究者的关注。任何有意义的分析方式。人工智能旨在对各种形式的心理(感知,认知,情感等)进行建模并由此渗透,甚至旨在建立在不久的将来将超越人类智慧的人工思维。本文在后哲学和超人类主义等当前哲学的背景下,通过符号学分析的视角研究了AI,这些哲学基于以下假设:技术将改善人类状况并为人类未来的发展指明道路物种。符号学必须应对AI挑战,关注于对世界的归纳反应如何产生人的意义,而不是软件或算法的意义。AI方法具有指导意义,但符号学与人类认知的理解更为相关,因为它研究的是进入大脑的信号,而不是该器官的人工模型。符号学议程可以通过提供有关人类符号学的相关见解来丰富AI,而人类符号学可能无视任何模拟它们的尝试。
更新日期:2019-05-30
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