AI in a New Millennium: Obstacles and Opportunities

نویسنده

  • Aaron Sloman
چکیده

AI has always had two overlapping, mutually-supporting strands: science, which is mainly concerned with understanding what is and isn’t possible in natural and artificial intelligent systems, and engineering, which is concerned mainly with producing new useful kinds of machines. The majority of funding has understandably been available for the engineering strand, and the majority of researchers have a strong engineering orientation. However, the intellectual giants responsible for many of the key ideas in AI and for setting up the leading research centres were all interested primarily in AI as science-for example, Turing, McCarthy, Minsky, Simon, and Newell.2 I am not alone in thinking that, despite substantial progress in many subfields of AI, not enough is being done to address the scientific problems related to combining many different kinds of competence within an integrated, embodied, human-like agent. The EC’s Cognitive Systems Initiative3 is just one program that has made it clear its primary aim to advance scientific understanding.

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تاریخ انتشار 2005