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A Concurrent Multiple Negotiation Protocol Based on Colored Petri Nets.

Lei Niu, Fenghui Ren, Minjie Zhang

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    Summary
    This summary is machine-generated.

    This study introduces a novel approach for concurrent multiple negotiation (CMN) by modeling interdependencies. The proposed colored Petri net protocol enhances negotiation success rates and efficiency.

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    Area of Science:

    • Artificial Intelligence
    • Multi-Agent Systems
    • Game Theory

    Background:

    • Concurrent Multiple Negotiation (CMN) allows agents to manage several negotiations simultaneously.
    • Interdependencies between concurrent negotiations significantly influence overall outcomes and achieving agent goals.
    • Addressing these interdependencies in CMN presents a complex research challenge.

    Purpose of the Study:

    • To identify and articulate key research challenges in concurrent multiple negotiation.
    • To introduce a graph-based model for CMN that explicitly incorporates interdependency relationships.
    • To propose an efficient negotiation protocol for CMN using colored Petri nets.

    Main Methods:

    • A comprehensive review of research problems associated with concurrent negotiation.
    • Development of a graph-based model to represent CMN with interdependency considerations.
    • Design of a colored Petri net-based protocol for efficient CMN processing.

    Main Results:

    • The proposed model effectively captures interdependencies among concurrent negotiations.
    • The colored Petri net protocol facilitates efficient and concurrent negotiation processing.
    • Experimental results demonstrate improved negotiation success rates, reduced negotiation times, and better outcomes.

    Conclusions:

    • The developed graph-based model and colored Petri net protocol offer a robust solution for handling CMN with interdependencies.
    • The proposed approach significantly enhances the efficiency and effectiveness of achieving negotiation goals in concurrent settings.
    • This work provides a foundation for more sophisticated multi-agent negotiation systems.