In this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...

W artykule przedstawiono mechanizm szeregowania procesów (symulacji) w systemie wieloagentowym wspomagającym projektowanie układów sterowania. Zaimplementowany algorytm ma za zadanie przydzielanie poszczególnych procesów do jednostek obliczeniowych, tak aby minimalizować czas przetwarzania zapytań przez system. Szeregowanie procesów pozwoliło na zwiększenie wydajności systemu wieloagentowego na poziomie 245%.

A design process and accepted solutions made during this process, often base on non-formalized knowledge, obtained from designer (expert) intuition and practice. There are no formalized rules assuring the correctness of design solutions. The analysis of design process of ship automation, including ship power system, shows that this process can be supported by application of the artificial intelligence elements. The article presents...