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A Field Guide to Genetic Programming
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The goal of having computers automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called “machine intelligence” (Turing, 1948). Machine learning pioneer Arthur Samuel, in his 1983 talk entitled “AI: Where It Has Been and Where It Is Going” (Samuel, 1983), stated that the main goal of the fields of machine learning and artificial intelligence is:
“to get machines to exhibit behaviour, which if done by humans, would be assumed to involve the use of intelligence.”
Genetic programming (GP) is an evolutionary computation (EC)1 technique that automatically solves problems without requiring the user to know or specify the form or structure of the solution in advance. At the most abstract level GP is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done.
Riccardo Poli, William B. Langdon, and Nicholas F. McPhee, - Personal Name
978-1-4092-0073-4
NONE
Management
English
March 2008
1-250
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