Multi-agent cognitive system for optimal solution search
Year: 2018
Type: conference-paper
Abstract: 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.
Institution: Technical University of Moldova
Language: English
Topic: Game Theory and Applications
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2810208564