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  1. What can the history of AI learn from the history of science?Alison E. Adam - 1990 - AI and Society 4 (3):232-241.
    There have been few attempts, so far, to document the history of artificial intelligence. It is argued that the “historical sociology of scientific knowledge” can provide a broad historiographical approach for the history of AI, particularly as it has proved fruitful within the history of science in recent years. The article shows how the sociology of knowledge can inform and enrich four types of project within the history of AI; organizational history; AI viewed as technology; AI viewed as cognitive science (...)
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  • Reflections on participatory design.Karamjit S. Gill - 1989 - AI and Society 3 (4):297-314.
    The human-centred debate in Britain focuses on the idea of human-machine symbiosis, and the “Dialogue” debate in Scandinavia focuses on the deep understanding of human communication, through a process of inner reflection. Both of these debates provide a framework for the participatory design of AI systems.The emergence of “social Europe” creates the desirability for a sharing of social and cultural knowledge and resources among the citizens of Europe. This raises the possibility of exploiting the potential of new technology for the (...)
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  • On two AI traditions.Satinder P. Gill - 1988 - AI and Society 2 (4):321-340.
    To understand the role of expert systems as a medium for transferring knowledge and skills within organisations requires an understanding of the nature of expertise within working life contexts. Central to this issue of transfer is the debate on the nature of tacit/implicit knowledge and the problem of formalising it in explicit form. This paper considers the British approach to the development of knowledge-based systems, which is regarded as being predominantly rationalistic, and compares it with the Scandinavian approach, which is (...)
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  • Socially useful networking.Richard Ennals - 2001 - AI and Society 15 (1-2):121-127.
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