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Recruitment Learning – An Introduction

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Part of the Studies in Computational Intelligence book series (SCI,volume 303)

Introduction

Computer science is the science of abstraction. Aho & Ullman (1992, p.3) call computer science the “mechanization of abstraction”, i.e. an appropriate model is sought for a given problem and is realized by use of a computational device. Abstraction often means simplification: a complex and real problem is replaced by a model that can solve a given problem (Aho & Ullman, 1992, p.3).

Keywords

  • Receptive Field
  • Relay Node
  • Lateral Inhibition
  • Random Network
  • Adult Neurogenesis

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Diederich, J., Günay, C., Hogan, J.M. (2010). Recruitment Learning – An Introduction. In: Recruitment Learning. Studies in Computational Intelligence, vol 303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14028-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-14028-0_1

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