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  1. Beyond Simon’s Means-Ends Analysis: Natural Creativity and the Unanswered ‘Why’ in the Design of Intelligent Systems for Problem-Solving. [REVIEW]Dongming Xu - 2010 - Minds and Machines 20 (3):327-347.
    Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be fully understood or categorically (...)
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  • Dreyfus on the “Fringe”: information processing, intelligent activity, and the future of thinking machines.Jeffrey White - 2019 - AI and Society 34 (2):301-312.
    From his preliminary analysis in 1965, Hubert Dreyfus projected a future much different than those with which his contemporaries were practically concerned, tempering their optimism in realizing something like human intelligence through conventional methods. At that time, he advised that there was nothing “directly” to be done toward machines with human-like intelligence, and that practical research should aim at a symbiosis between human beings and computers with computers doing what they do best, processing discrete symbols in formally structured problem domains. (...)
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  • Continental Philosophies of the social sciences.David Teira - 2011 - In Ian Jarvie Jesus Zamora Bonilla (ed.), The Sage Handbook of the Philosophy of Social Sciences. SAGE Publications. pp. 81-102.
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