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Classical Learning Method in Digital Games

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Encyclopedia of Computer Graphics and Games

Synonyms

Genetic algorithm; Machine learning; Neural network

Definition

Classical learning includes simple neural networks, genetic algorithms, and so on. Few game titles utilize classical learning because these must be harmonized with game design. Thus, the main problem of implementing the classical learning method in digital games is finding out how to synergize a classical learning algorithm and game design.

Introduction

Learning has not always been used in digital games; rather, it is used only in specific and limited contexts. There are two reasons for why the application of learning is limited. First, the game is usually developed on a game design, and it is adjusted to be strict good balance by a game designer’s sense. Learning AI method introduces unpredictability and variations. It is considered difficult to combine learning algorithms with game design. To address this, advanced game design technologies that absorb the fluctuations of learning algorithms and engineering...

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Correspondence to Youichiro Miyake .

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Miyake, Y. (2022). Classical Learning Method in Digital Games. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_316-1

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  • DOI: https://doi.org/10.1007/978-3-319-08234-9_316-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08234-9

  • Online ISBN: 978-3-319-08234-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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