Affiliations: School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran
Note: [] Corresponding author. Rahmatollah Beheshti, School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran. E-mails: beheshti@knights.ucf.edu (Rahmatollah Beheshti); mozayani@iust.ac.ir (Nasser Mozayani).
Abstract: Holonic multi-agent systems are a special category of multi-agent systems that best fit to environments with numerous agents and high complexity. Like in general multi-agent systems, the agents in the holonic system may negotiate with each other. These systems have their own characteristics and structure, for which a specific negotiation mechanism is required. This mechanism should be simple, fast and operable in real world applications. It would be better to equip negotiators with a learning method which can efficiently use the available information. The learning method should itself be fast, too. Additionally, this mechanism should match the special characteristics of the holonic multi-agent systems. In this paper, we introduce such a negotiation method. Experimental results demonstrate the efficiency of this new approach.
