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 SM ISO690:2012ABABII, Victor, SUDACEVSCHI, Viorica, MUNTEANU, Silvia, BORDIAN, Dimitrie, CALUGARI, Dmitri, NISTIRIUC, Ana, DILEVSCHI, Sergiu. Multi-agent cognitive system for optimal solution search. In: 2018 14th International Conference on Development and Application Systems: DAS 2018 - Proceedings, 24-26 mai 2018, Suceava. New Jersey, SUA: Institute of Electrical and Electronics Engineers Inc., 2018, Ediția a 14-a, pp. 53-56. ISBN 978-153861495-2. DOI: https://doi.org/10.1109/DAAS.2018.8396070 |
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 2018 14th International Conference on Development and Application Systems Ediția a 14-a, 2018 |
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Conferința "14th International Conference on Development and Application Systems" Suceava, Romania, 24-26 mai 2018 | ||||||
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| DOI:https://doi.org/10.1109/DAAS.2018.8396070 | ||||||
| Pag. 53-56 | ||||||
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Solving optimization problems is a challenging issue in almost all engineering applications. In this paper we present the design of a multi-agent system with cognitive properties meant to find optimal solution according to the game theory. The multi-agent system consists of two subsystems that compete for maximum profit for their teams. Subsystems have no communication capabilities with each other. The status of an agent can only be identified based on its actions on the environment. In order to find an optimal solution we use a Nash Equilibrium concept of a non-cooperative game. The implementation of the system is done on a microcontroller. The evaluation of the Nash Equilibrium convergence rate was performed for 4 cases. The results are presented in the form of convergence charts. |
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| Cuvinte-cheie cognitive systems multi-agent system, Nash Equilibrium optimal solutions |
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