000111745 001__ 111745
000111745 005__ 20190316234030.0
000111745 0247_ $$2doi$$a10.1109/TEVC.2008.2011741
000111745 02470 $$2ISI$$a000267435800011
000111745 037__ $$aARTICLE
000111745 245__ $$aGenetic Team Composition and Level of Selection in the Evolution of Cooperation
000111745 269__ $$a2009
000111745 260__ $$c2009
000111745 336__ $$aJournal Articles
000111745 520__ $$aIn cooperative multiagent systems, agents interact to solve tasks. Global dynamics of multiagent teams result from local agent interactions, and are complex and difficult to predict. Evolutionary computation has proven a promising approach to the design of such teams. The majority of current studies use teams composed of agents with identical control rules (“genetically homogeneous teams”) and select behavior at the team level (“team-level selection”). Here we extend current approaches to include four combinations of genetic team composition and level of selection. We compare the performance of genetically homogeneous teams evolved with individual-level selection, genetically homogeneous teams evolved with team-level selection, genetically heterogeneous teams evolved with individual-level selection, and genetically heterogeneous teams evolved with team-level selection. We use a simulated foraging task to show that the optimal combination depends on the amount of cooperation required by the task. Accordingly, we distinguish between three types of cooperative tasks and suggest guidelines for the optimal choice of genetic team composition and level of selection.
000111745 6531_ $$aMulti-agent Systems
000111745 6531_ $$aArtificial Evolution
000111745 6531_ $$aEvolutionary
000111745 6531_ $$aRobotics
000111745 6531_ $$aTeam Composition
000111745 6531_ $$aFitness Allocation
000111745 6531_ $$aCooperation
000111745 6531_ $$aAltruism
000111745 6531_ $$aEvolutionary Robotics
000111745 700__ $$0241091$$aWaibel, Markus$$g146208
000111745 700__ $$aKeller, Laurent
000111745 700__ $$0240742$$aFloreano, Dario$$g111729
000111745 773__ $$j13$$k3$$q648-660$$tIEEE Transactions on Evolutionary Computation
000111745 8564_ $$s496550$$uhttps://infoscience.epfl.ch/record/111745/files/Waibel09-IEEE.pdf$$zn/a
000111745 909C0 $$0252161$$pLIS$$xU10370
000111745 909CO $$ooai:infoscience.tind.io:111745$$pSTI$$particle$$qGLOBAL_SET
000111745 917Z8 $$x255330
000111745 937__ $$aLIS-ARTICLE-2007-006
000111745 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000111745 980__ $$aARTICLE