HOMAN, a learning based negotiation method for holonic multi-agent systems

  • Authors:
  • Rahmatollah Beheshti;Nasser Mozayani

  • Affiliations:
  • School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran;School of Computer Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2014

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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.