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Expert systems and human knowledge: A view from the sociology of science

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Abstract

After the setbacks suffered in the 1970s as a result of the ‘Lighthill Report’ (Lighthill, 1973), the science of Artificial Intelligence (AI) has undergone a dramatic revival of fortunes in the 1980s. But despite the obvious enormity and complexity of the problems tackled by AI, it still remains rather parochial in relation to the import of alternative though potentially fruitful ideas from other disciplines. With this in mind, the aim of the present paper is to utilise ideas from the sociology of science in order to explore some current issues in AI and, in particular, the branch of expert systems.

It is argued that the sociology of sciences shares a common focus of enquiry along with AI — namely, the nature of knowledge — and has a role to play in the understanding, design and future development of expert systems.

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Authors and Affiliations

  1. Department of Management Sciences, UMIST, Manchester

    Brian P. Bloomfield

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  1. Brian P. Bloomfield
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Bloomfield, B.P. Expert systems and human knowledge: A view from the sociology of science. AI & Soc 2, 17–29 (1988). https://doi.org/10.1007/BF01891440

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