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.
This paper subsumes the team description paper “Cyberoos2000: Experiments with Emergent Tactical Behaviour”.
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Prokopenko, M., Butler, M., Howard, T. (2001). On Emergence of Scalable Tactical and Strategic Behaviour. In: Stone, P., Balch, T., Kraetzschmar, G. (eds) RoboCup 2000: Robot Soccer World Cup IV. RoboCup 2000. Lecture Notes in Computer Science(), vol 2019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45324-5_39
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DOI: https://doi.org/10.1007/3-540-45324-5_39
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