| Title: | Multi-agent system based on Artificial Neural Network for terrain exploration |
| Authors: | Karoń, Igor Kolanowski, Krzysztof Majchrzycki, Mateusz Świetlicka, Aleksandra Gugała, Karol Rybarczyk, Andrzej |
| Citation: | ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-21-III-22. |
| Issue Date: | 2013 |
| Publisher: | University of West Bohemia |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/11491 |
| ISBN: | 978-80-261-0246-5 |
| Keywords: | multiagentní systémy;umělá neuronová síť;explorace terénu |
| Keywords in different language: | multi-agent systems;artificial neural network;terrain exploration |
| 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. |
| Rights: | © University of West Bohemia |
| Appears in Collections: | ISTET 2013 ISTET 2013 ISTET 2013 |
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