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. © 2001 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Prokopenko, M., Butler, M., & Howard, T. (2001). On emergence of scalable tactical and strategic behaviour. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2019 LNAI, pp. 357–366). Springer Verlag. https://doi.org/10.1007/3-540-45324-5_39
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