Very fast action selection for parameterized behaviors

  • Authors:
  • Ian Horswill

  • Affiliations:
  • Northwestern University, Evanston, IL

  • Venue:
  • Proceedings of the 4th International Conference on Foundations of Digital Games
  • Year:
  • 2009

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Abstract

In this paper, I will discuss a set of techniques for supporting limited variable binding in behavior-based systems. This adds additional useful expressivity while preserving the property of selecting actions in 0(1) time and space. An unusual feature of the method is that it allows inference operations to be reduced to bit-parallel and short-vector operations, making it particularly well suited to real-time operation on modern superscalar and SIMD architectures. I also describe an implementation of the technique in the Twig procedural animation system.