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dc.contributor.authorKaroń, Igor
dc.contributor.authorKolanowski, Krzysztof
dc.contributor.authorMajchrzycki, Mateusz
dc.contributor.authorŚwietlicka, Aleksandra
dc.contributor.authorGugała, Karol
dc.contributor.authorRybarczyk, Andrzej
dc.date.accessioned2014-07-14T07:38:24Z
dc.date.available2014-07-14T07:38:24Z
dc.date.issued2013
dc.identifier.citationISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-21-III-22.en
dc.identifier.isbn978-80-261-0246-5
dc.identifier.urihttp://hdl.handle.net/11025/11491
dc.description.abstractIn the presented paper Multi Agent System (MAS) with automatic formation selection based on the Artificial Neural Networks (ANN) is described. Presented system aims at testing the collective behavior of robots in unknown territory, their ability to cooperate in case where information and communication are extremely limited. As an example of MAS usage, the task of searching the experimental area to find a specific point is presented.en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesISTET: International Symposium on Theoretical Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.subjectmultiagentní systémycs
dc.subjectumělá neuronová síťcs
dc.subjectexplorace terénucs
dc.titleMulti-agent system based on Artificial Neural Network for terrain explorationen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedmulti-agent systemsen
dc.subject.translatedartificial neural networken
dc.subject.translatedterrain explorationen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:ISTET 2013
ISTET 2013
ISTET 2013

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