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Imitation Learning in Uncertain Environments

  • Steffen Priesterjahn
  • Markus Eberling
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5199)

Abstract

This paper describes a new evolutionary learning method to handle the fast adaptation of a group of agents in an uncertain environment. The method is a result of our research towards the generation of intelligent agents in computer games and is inspired by the idea of social learning or cultural evolution. Thus, the agents try to adapt by the exchange of information about advantageous behaviours within the population. This paper evaluates the new approach by addressing the generation of competitive artificial players in a real-time action game.

Keywords

Computer Game Uncertain Environment Base Setup Individual Adaptation Rule Replacement 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Steffen Priesterjahn
    • 1
  • Markus Eberling
    • 1
  1. 1.Department of Computer ScienceUniversity of PaderbornPaderbornGermany

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