Improving the Multi-Agent General Cooperation Model Based on SVD
Yan Chen, Jing Yu · Applied Mechanics and Materials · 2015
The cooperation is the most important for a multi-agent system (MAS). In order to research the cooperation, creating a multi-agent general cooperation model, that not only thinking about the cooperation solving way, but also thinking about the cooperation necessity and how to solve the conflicts, was a feasible method. However, the cooperation model might be inefficient. This paper suggested, based on the singular value decomposition (SVD), simplifying multi-agent cooperation data, and then improving the general cooperation model. According to the simulation results, the improved model had higher efficiency and can provide a more reliable tool for the study of the cooperation in MAS.