On Emergence of Scalable Tactical and Strategic Behavior

  • Authors:
  • Mikhail Prokopenko;Marc Butler;Thomas Howard

  • Affiliations:
  • -;-;-

  • Venue:
  • RoboCup 2000: Robot Soccer World Cup IV
  • Year:
  • 2001

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Abstract

The principle of behavioral programming [1] suggests to derive low-level controllers from symbolic high-level task descriptions in a predictable way. This paper presents an extension of the principle of behavioral programming -- by identifying a feedback link between emergent behaviour and a scalable Deep Behaviour Projection (DBP) agent architecture. In addition, we introduce a new variant of the RoboCup Synthetic Soccer, called Circular Soccer. This variant simulates matches among multiple teams on a circular field, and extends the RoboCup Simulation towards strategic game-theoretic issues. Importantly, the Circular Soccer world provides a basis for an architecture scale-ability evaluation, and brings us closer to the idea of meta-game simulation.