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Understanding Pattern Recognition Methods

Timo Kaukoranta, Jouni Smed, Harri Hakonen, Understanding Pattern Recognition Methods. In: AI Game Programming Wisdom 2, 579-589, Charles River Media, 2003.

Abstract:

As game worlds resemble the real world more closely, their increasing complexity requires effective and reliable pattern recognition. Computer games encompass a variety of problems involving pattern recognition including enemy evaluation and prediction, coaching, group coordination, terrain analysis, and learning. The task of pattern recognition is to abstract relevant information from the game world and, based on the retrieved information, construct concepts and deduce patterns for the use of higher level reasoning and decision-making systems.<p>

The plan of this article is twofold. Firstly, we analyze what is required from pattern recognition in computer games. We conclude that it can act in different roles, which in turn affect the choice of a method and its implementation. Secondly, we review a branch of pattern recognition techniques arising from soft computing. Our intention is to clarify where these methods should be used.

BibTeX entry:

@INBOOK{cKaSmHa03a,
  title = {Understanding Pattern Recognition Methods},
  booktitle = {AI Game Programming Wisdom 2},
  author = {Kaukoranta, Timo and Smed, Jouni and Hakonen, Harri},
  publisher = {Charles River Media},
  pages = {579-589},
  year = {2003},
}

Belongs to TUCS Research Unit(s): Algorithmics and Computational Intelligence Group (ACI)

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