Evolving behavioral specialization in robot teams to solve a collective construction task

dc.contributor.authorNitschke, G.S.
dc.contributor.authorSchut, M.C.
dc.contributor.authorEiben, A.E.
dc.contributor.emailgnitschke@cs.up.ac.zaen_US
dc.date.accessioned2012-06-13T06:20:02Z
dc.date.available2012-06-13T06:20:02Z
dc.date.issued2012-02
dc.description.abstractThis article comparatively tests three cooperative co-evolution methods for automated controller design in simulated robot teams. Collective Neuro- Evolution (CONE) co-evolves multiple robot controllers using emergent behavioral specialization in order to increase collective behavior task performance. CONE is comparatively evaluated with two related controller design methods in a collective construction task. The task requires robots to gather building blocks and assemble the blocks in specific sequences in order to build structures. Results indicate that for the team sizes tested, CONE yields a higher collective behavior task performance (comparative to related methods) as a consequence of its capability to evolve specialized behaviors.en
dc.description.librariandm2012en
dc.description.urihttp://www.elsevier.com/locate/swevoen
dc.identifier.citationNitschke, GS, Schut, MC & Eiben, AE 2012, 'Evolving behavioral specialization in robot teams to solve a collective construction task', Swarm and Evolutionary Computation, vol. 2, no. 2, pp. 25-38.en
dc.identifier.issn2210-6502 (print)
dc.identifier.other10.1016/j.swevo.2011.08.002
dc.identifier.urihttp://hdl.handle.net/2263/19154
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2011 Elsevier B.V. All rights reserved.en
dc.subjectNeuro-evolutionen
dc.subjectCollective constructionen
dc.subjectSpecializationen
dc.subject.lcshRobots -- Control systems
dc.titleEvolving behavioral specialization in robot teams to solve a collective construction tasken
dc.typePostprint Articleen

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