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Problem-Solving Methods - Understanding, Description, Development, and Reuse (Paperback, 2000 ed.)
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Problem-Solving Methods - Understanding, Description, Development, and Reuse (Paperback, 2000 ed.)
Series: Lecture Notes in Artificial Intelligence, 1791
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Researchers in Artificial Intelligence have traditionally been
classified into two categories: the "neaties" and the "scruffies."
According to the scruffies, the neaties concentrate on building
elegant formal frameworks, whose properties are beautifully
expressed by means of definitions, lemmas, and theorems, but which
are of little or no use when tackling real-world problems. The
scruffies are described (by the neaties) as those researchers who
build superficially impressive systems that may perform extremely
well on one particular case study, but whose properties and
underlying theories are hidden in their implementation, if they
exist at all. As a life-long, non-card-carrying scruffy, I was
naturally a bit suspicious when I first started collaborating with
Dieter Fensel, whose work bears all the formal hallmarks of a true
neaty. Even more alarming, his primary research goal was to provide
sound, formal foundations to the area of knowledge-based systems, a
traditional stronghold of the scruffies - one of whom had famously
declared it "an art," thus attempting to place it outside the range
of the neaties (and to a large extent succeeding in doing so).
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