Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning of Robot Assembly Plans (Hardcover, 1988 ed.)
Loot Price: R3,113
Discovery Miles 31 130
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Machine Learning of Robot Assembly Plans (Hardcover, 1988 ed.)
Series: The Springer International Series in Engineering and Computer Science, 51
Expected to ship within 10 - 15 working days
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Total price: R3,133
Discovery Miles: 31 330
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The study of artificial intelligence (AI) is indeed a strange
pursuit. Unlike most other disciplines, few AI researchers even
agree on a mutually acceptable definition of their chosen field of
study. Some see AI as a sub field of computer science, others see
AI as a computationally oriented branch of psychology or
linguistics, while still others see it as a bag of tricks to be
applied to an entire spectrum of diverse domains. This lack of
unified purpose among the AI community makes this a very exciting
time for AI research: new and diverse projects are springing up
literally every day. As one might imagine, however, this diversity
also leads to genuine difficulties in assessing the significance
and validity of AI research. These difficulties are an indication
that AI has not yet matured as a science: it is still at the point
where people are attempting to lay down (hopefully sound)
foundations. Ritchie and Hanna [1] posit the following
categorization as an aid in assessing the validity of an AI
research endeavor: (1) The project could introduce, in outline, a
novel (or partly novel) idea or set of ideas. (2) The project could
elaborate the details of some approach. Starting with the kind of
idea in (1), the research could criticize it or fill in further
details (3) The project could be an AI experiment, where a theory
as in (1) and (2) is applied to some domain. Such experiments are
usually computer programs that implement a particular theory.
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