Multi-agent system based on Artificial Neural Network for terrain exploration
| dc.contributor.author | Karoń, Igor | |
| dc.contributor.author | Kolanowski, Krzysztof | |
| dc.contributor.author | Majchrzycki, Mateusz | |
| dc.contributor.author | Świetlicka, Aleksandra | |
| dc.contributor.author | Gugała, Karol | |
| dc.contributor.author | Rybarczyk, Andrzej | |
| dc.date.accessioned | 2014-07-14T07:38:24Z | |
| dc.date.available | 2014-07-14T07:38:24Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | In 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.format | 2 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-21-III-22. | en |
| dc.identifier.isbn | 978-80-261-0246-5 | |
| dc.identifier.uri | http://hdl.handle.net/11025/11491 | |
| dc.language.iso | en | en |
| dc.publisher | University of West Bohemia | en |
| dc.relation.ispartofseries | ISTET: International Symposium on Theoretical Electrical Engineering | en |
| dc.rights | © University of West Bohemia | en |
| dc.rights.access | openAccess | en |
| dc.subject | multiagentní systémy | cs |
| dc.subject | umělá neuronová síť | cs |
| dc.subject | explorace terénu | cs |
| dc.subject.translated | multi-agent systems | en |
| dc.subject.translated | artificial neural network | en |
| dc.subject.translated | terrain exploration | en |
| dc.title | Multi-agent system based on Artificial Neural Network for terrain exploration | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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