走向实用主义的人工智能哲学

Peter A Leadbetter
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引用次数: 2

摘要

最近媒体对人工智能(AI)的兴趣(主要是通过对专家系统的商业利用)和该领域内使用的编程语言,只有在那些感兴趣的人对大多数人工智能研究的背景有一个全面的认识的情况下,才能持续和建立起来。人工智能的核心理论基础虽小,但仍在不断发展;它通过权宜之计和开创性的努力来解决难题,旨在产生足够或充分的解决方案,这些解决方案本身可以被改进,然后可能被纳入人工智能理论的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a pragmatic philosophy of artificial intelligence

Recent media interest in artificial intelligence (AI) (mainly through commercial exploitation of expert systems) and programming languages used within the field can only be sustained and built upon if those interested possess an overall awareness of the background against which most AI research is undertaken. AI has a small, although growing, fundamental base of core theory; it attacks difficult problems by expedient means and pioneering effort and aims to generate sufficient or adequate solutions which can themselves be refined and then perhaps incorporated into the fundamentals of AI theory.

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