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Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications

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Book cover Computational Intelligence: A Compendium

Part of the book series: Studies in Computational Intelligence ((SCI,volume 115))

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’ [384]. Machine learning pioneer Arthur Samuel, in his 1983 talk entitled ‘AI: Where It Has Been and Where It Is Going’ [337], stated that the main goal of the fields of machine learning and artificial intelligence is:

“to get machines to exhibit behavior, which if done by humans, would be assumed to involve the use of intelligence.”

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  1. Departments of Biological and Mathematical Sciences, University of Essex, UK

    William B. Langdon

  2. Department of Computing and Electronic Systems, University of Essex, UK

    Riccardo Poli

  3. Division of Science and Mathematics, University of Minnesota, Morris, USA

    Nicholas F. McPhee

  4. Stanford University, Stanford, CA, USA

    John R. Koza

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Langdon, W.B., Poli, R., McPhee, N.F., Koza, J.R. (2008). Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications. In: Fulcher, J., Jain, L.C. (eds) Computational Intelligence: A Compendium. Studies in Computational Intelligence, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78293-3_22

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