Artificial experts - social knowledge and intelligent machines

H. M. Collins
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引用次数: 405

Abstract

A machine is what we make of it. It can mimic us if we can mimic it, or help it out, or overlook its mistakes. In "Artificial Experts sociologist Harry Collins explains what computers can't do, but also studies the ordinary and extraordinary things that they can do. He argues that although machines are limited because we cannot reproduce in symbols what every community knows, we give them abilities because of the way we embed them in our society. He unfolds a compelling account of the difference between human action and machine intelligence, the core of which is a witty and learned exploration of knowledge itself, of what communities know and the ways in which they know it. In the course of his investigations, Collins derives enlightening metaphors for the relation between artificial intelligence and prosthetic technologies such as artificial hearts. He provides an intriguing explanation of why pocket calculators work and shares his own experience in constructing an expert system designed to teach people to grow specialized semiconductor crystals. He describes a novel development of the Turing protocol for the definition Of intelligence, a new classification of human skill, and an original way of understanding our relationship to machines. From an AI point of view, the acquisition of knowledge and the selection of applications are critical to the success of expert systems. Collins offers an original approach to both problems for AI researchers and practitioners, providing a sociological perspective on the kinds of knowledge expert systems can and cannot capture, and on the domains that are and are not likely to be successful. Harry M. Collins is a widely published sociologist. He isProfessor of Sociology, Head of the School of Social Sciences, and Director of the Science Studies Centre at the University of Bath.
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人工专家——社会知识和智能机器
机器是我们制造出来的。如果我们能模仿它,它就能模仿我们,或者帮助它,或者忽略它的错误。在《人工专家》一书中,社会学家哈里·柯林斯(Harry Collins)解释了计算机不能做的事情,但也研究了它们能做的普通和非凡的事情。他认为,虽然机器是有限的,因为我们不能用符号再现每个社区都知道的东西,但我们赋予它们能力,是因为我们把它们嵌入了我们的社会。他对人类行为和机器智能之间的差异展开了令人信服的描述,其核心是对知识本身、社区知道什么以及他们知道的方式进行了诙谐而博学的探索。在他的调查过程中,柯林斯对人工智能和人工心脏等假肢技术之间的关系进行了启发性的比喻。他对袖珍计算器的工作原理进行了有趣的解释,并分享了他自己构建专家系统的经验,该系统旨在教人们生长专门的半导体晶体。他描述了图灵协议在智能定义上的一个新发展,一种新的人类技能分类,以及一种理解我们与机器关系的原始方式。从人工智能的角度来看,知识的获取和应用程序的选择对专家系统的成功至关重要。柯林斯为人工智能研究人员和实践者提供了一种解决这两个问题的新颖方法,从社会学的角度分析了专家系统可以捕获和不能捕获的知识种类,以及可能成功和不可能成功的领域。哈里·m·柯林斯是一位著作广泛的社会学家。他是社会学教授,社会科学学院院长,巴斯大学科学研究中心主任。
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Artificial experts - social knowledge and intelligent machines
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