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ESSAY: Computers Are Useless ... They Only Give Us Answers

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Genetic Programming Theory and Practice XIX

Part of the book series: Genetic and Evolutionary Computation ((GEVO))

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Abstract

While the title of this essay, taken from a quotation from Picasso [1], is somewhat facetious, it contains more than a grain of truth. We have all experienced results that left us scratching our heads with Evolutionary Algorithms, but often these algorithms lead us to the most fruitful results. It can be hard to create the right conditions to find good answers. To quote Shakespeare: “I can call the spirits from the vasty deep!” to which the response in the text is “Why so can I! And so can any [person], but will they come when you doth call?”

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Notes

  1. 1.

    A deep learning bibliography can be found here: https://scholar.google.com/scholar?q=deep+learning+bibliography&hl=en&as_sdt=0&as_vis=1&oi=scholart.

References

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Author information

Authors and Affiliations

  1. Evolution Enterprise, Ann Arbor, MI, USA

    Bill Worzel

Authors
  1. Bill Worzel
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Correspondence to Bill Worzel .

Editor information

Editors and Affiliations

  1. Engineering Sciences Graduate Program, Tecnológico Nacional de México/Instituto Tecnológico de Tijuana, Tijuana, Baja California, Mexico

    Leonardo Trujillo

  2. Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria, Wels, Austria

    Stephan M. Winkler

  3. Department of Informatics, Faculty of Sciences, University of Lisbon, Lisbon, Portugal

    Sara Silva

  4. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Wolfgang Banzhaf

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Worzel, B. (2023). ESSAY: Computers Are Useless ... They Only Give Us Answers. In: Trujillo, L., Winkler, S.M., Silva, S., Banzhaf, W. (eds) Genetic Programming Theory and Practice XIX. Genetic and Evolutionary Computation. Springer, Singapore. https://doi.org/10.1007/978-981-19-8460-0_11

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  • DOI: https://doi.org/10.1007/978-981-19-8460-0_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8459-4

  • Online ISBN: 978-981-19-8460-0

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