Contextual Affordances for Intelligent Virtual Characters

  • Frederick W. P. Heckel
  • G. Michael Youngblood
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6895)

Abstract

Building artificial intelligence for games is an extremely involved process, and the cost of developing AI for minor characters may be greater than the payoff in increased immersion. Affordances, used to create smart objects, reduce the complexity of character controllers. While affordances improve the complexity of individual controllers, the technique does not take advantage of environmental information to reduce the behavioral decision space. We present contextual affordances, which extend basic affordances to use context from object, agent, and environmental state to present only the most relevant actions to characters. We show how contextual affordances improve even random-decision agents, and discuss the complexity of building contextual objects.

Keywords

Action Space Smart Object Character Controller Random Character Minor Character 
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 2011

Authors and Affiliations

  • Frederick W. P. Heckel
    • 1
  • G. Michael Youngblood
    • 1
  1. 1.University of North Carolina at CharlotteCharlotteUSA

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