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Collective Strategies for Virtual Environments: Modelling Ways to Deal with the Uncertainty

  • L. Castillo
  • C. López
  • M. Bedia
  • F. López
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 373)

Abstract

Videogames offer new challenges and excellent application domains for AI technology and research. This paper shows a work on ant algorithms optimizing of collective strategies in a videogame environment. In general, ant algorithms are those that taking inspiration from the observation of ant colonies foraging behavior have developed optimization meta-heuristics. In the first part of the paper, we relate the strengths of ant strategies with the well-known exploration-exploitation problem. In the second part, a particular model on how to optimize group strategies in collective tasks is analyzed in light of the ideas previously examined. Finally, we will show how these ideas can constitute an improved stage in the problem of designing non-player characters in future videogames.

Keywords

videogames exploration-exploitation dilemma ant optimization 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Engineering Systems Dpt.University of CaldasManizalesColombia
  2. 2.Plastic and Physical ExpressionUniversity of ZaragozaZaragozaSpain
  3. 3.Computer Science Dpt.University of ZaragozaZaragozaSpain

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