On emergence of scalable tactical and strategic behaviour

Mikhail Prokopenko*, Marc Butler, Thomas Howard

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationRoboCup 2000: Robot Soccer World Cup IV
EditorsPeter Stone, Tucker Balch, Gerhard Kraetzschmar
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Number of pages10
ISBN (Electronic)9783540453246
ISBN (Print)3540421858, 9783540421856
Publication statusPublished - Sep 2001
Externally publishedYes
Event4th Robot World Cup Soccer Games and Conferences, RoboCup - 2000 - Melbourne, Australia
Duration: 27 Aug 20003 Sep 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2019 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Other4th Robot World Cup Soccer Games and Conferences, RoboCup - 2000


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