From Calculus to Language Game: The Challenge of Cognitive Technology

Christoph Durt
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引用次数: 1

Abstract

Cognitive technology is an increasingly important form of technology that can deal with meaning by either replicating or simulating human cognition. Cognitive technology can make use of information technology, but it strives to go beyond mere information processing by recognizing, changing, and creating meaning. This presents us with a two-sided challenge: On the one hand, cognitive technology is challenged to “understand” meaning in ordinary language. And on the other, it challenges us to rethink fundamental questions of human cognition and sense-making. Both challenges demand a better understanding of the difference between the technical transformation of symbols and the understanding of meaning in the ordinary sense. After explaining the topic in relation to both the insights and the limitations of the reflections by Turing, Searle, and Heidegger, this paper primarily builds on Wittgenstein’s contributions to a better understanding of the difference between two conceptions of meaning and their implications for technical replication and simulation. The paper shows that Wittgenstein developed his early calculus account of meaning into that of language games and that language games not only come in many different varieties, but are also much more flexible than calculi. Of particular interest will be the difference between rigid and creative rule-following. Creative rule-following involves an intricate interplay of very different bodily, mental, and cultural constituents, so that its simulation is not merely a technical problem but also requires clarification of a number of profound philosophical questions. It will become clear that the challenge of cognitive technology shows up at unexpected places and that is much bigger than usually assumed. 1 Christoph Durt, Institute of Philosophy, University of Vienna, Austria; christoph@durt.de/www.durt.de
从微积分到语言游戏:认知技术的挑战
认知技术是一种越来越重要的技术形式,它可以通过复制或模拟人类认知来处理意义。认知技术可以利用信息技术,但它努力超越单纯的信息处理,通过识别、改变和创造意义。这给我们带来了一个双重挑战:一方面,认知技术面临着“理解”日常语言意义的挑战。另一方面,它挑战我们重新思考人类认知和意义构建的基本问题。这两个挑战都要求我们更好地理解符号的技术转换与普通意义上的意义理解之间的区别。在解释了图灵、塞尔和海德格尔的反思的见解和局限性之后,本文主要建立在维特根斯坦的贡献上,以便更好地理解两个意义概念之间的差异及其对技术复制和模拟的影响。本文表明,维特根斯坦将他早期关于意义的微积分理论发展为语言游戏理论,语言游戏不仅有许多不同的变体,而且比微积分更灵活。我们特别感兴趣的是严格的和创造性的规则遵循之间的区别。创造性规则遵循涉及非常不同的身体,精神和文化成分的复杂相互作用,因此其模拟不仅仅是一个技术问题,还需要澄清一些深刻的哲学问题。很明显,认知技术的挑战出现在意想不到的地方,而且比通常认为的要大得多。1 Christoph Durt,奥地利维也纳大学哲学研究所;christoph@durt.de / www.durt.de
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