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
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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