000147850 001__ 147850
000147850 005__ 20190331192646.0
000147850 020__ $$a978-3-642-01128-3
000147850 0247_ $$2doi$$a10.1007/978-3-642-01129-0_37
000147850 037__ $$aCONF
000147850 245__ $$aEvolving Teams of Cooperating Agents for Real-Time Strategy Game
000147850 269__ $$a2009
000147850 260__ $$bSpringer-Verlag$$c2009$$aBerlin, Heidelberg
000147850 336__ $$aConference Papers
000147850 490__ $$aLecture Notes in Computer Science$$v5484
000147850 520__ $$aWe apply gene expression programing to evolve a player for a real-time strategy (RTS) video game. The paper describes the game, evolutionary encoding of strategies and the technical implementation of experimental framework. In the experimental part, we compare two setups that differ with respect to the used approach of task decomposition. One of the setups turns out to be able to evolve an effective strategy, while the other leads to more sophisticated yet inferior solutions. We discuss both the quantitative results and the behavioral patterns observed in the evolved strategies.
000147850 6531_ $$aGenetic Programming
000147850 6531_ $$aReal-time Strategy Games
000147850 6531_ $$aArtificial Intelligence
000147850 6531_ $$aEvolutionary Robotics
000147850 700__ $$0243230$$g191506$$aLichocki, Pawel
000147850 700__ $$aKrawiec, Krzysztof
000147850 700__ $$aJaskowski, Wojciech
000147850 7112_ $$dApril 15-17, 2009$$cTübingen, Germany$$a1st European Workshop on Bio-inspired Algorithms in Games (EvoGAMES-2009)
000147850 773__ $$tProceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing$$q333-342
000147850 8564_ $$uhttp://www.springerlink.com/content/64p676328m1k84r3/$$zURL
000147850 8564_ $$uhttps://infoscience.epfl.ch/record/147850/files/lichocki2009evolving.pdf$$zPublisher's version$$s288846$$yPublisher's version
000147850 909C0 $$xU10370$$0252161$$pLIS
000147850 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:147850$$pSTI
000147850 917Z8 $$x255330
000147850 937__ $$aEPFL-CONF-147850
000147850 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000147850 980__ $$aCONF