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The search-based approach

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Procedural Content Generation in Games

Part of the book series: Computational Synthesis and Creative Systems ((CSACS))

Abstract

Search-based procedural content generation is the use of evolutionary computation and similar methods to generate game content. This chapter gives an overview of this approach to PCG, and lists a number of core considerations for developing a search-based PCG solution. In particular, we discuss how to best represent content so that the content space becomes searchable, and how to create an evaluation function that allows for effective search. Three longer examples of using search-based PCG to evolve content for specific games are given.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, New York University, 2 MetroTech Center, Brooklyn, NY, 11201, USA

    Julian Togelius

  2. Department of Architecture, Design and Media Technology, Aalborg University Copenhagen, A. C. Meyers Vaenge 15, 2450, Copenhagen, Denmark

    Noor Shaker

Authors
  1. Julian Togelius
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  2. Noor Shaker
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Corresponding author

Correspondence to Julian Togelius .

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Togelius, J., Shaker, N. (2016). The search-based approach. In: Procedural Content Generation in Games. Computational Synthesis and Creative Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-42716-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-42716-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42714-0

  • Online ISBN: 978-3-319-42716-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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