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Coordinating the Bidding Strategy in Multiissue Multiobject Negotiation With Single and Multiple Providers.

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    This study introduces dynamic negotiation strategies for flexible procurement of multiple services with quality-of-service attributes. The approach effectively coordinates bidding across concurrent negotiations, outperforming previous methods.

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    Area of Science:

    • Artificial Intelligence
    • Multi-agent Systems
    • Service Procurement

    Background:

    • Procuring multiple distinct services with varying quality-of-service (QoS) attributes presents complex challenges.
    • Existing negotiation models often focus on single-item procurement, limiting their applicability to multi-service scenarios.

    Purpose of the Study:

    • To develop and evaluate novel dynamic negotiation strategies for flexible, one-to-many service procurement.
    • To address the coordination of bidding strategies in multiple concurrent negotiations for distinct services.

    Main Methods:

    • Proposed dynamic negotiation strategies that adapt to opponent behaviors in multi-issue, multi-provider service negotiations.
    • Implemented a one-to-many negotiation approach for a buyer agent procuring multiple services.
    • Extended previous work on single-object negotiation to complex multi-service scenarios.

    Main Results:

    • Demonstrated the effectiveness of the proposed dynamic negotiation strategies in various negotiation environments.
    • Showcased the robustness of the strategies in managing local reservation values across different services.
    • Provided evidence for improved coordination in concurrent multi-service negotiations.

    Conclusions:

    • The novel dynamic negotiation strategies offer a flexible and effective solution for multi-service procurement.
    • The approach successfully handles complex scenarios involving multiple services, issues, and providers.
    • This work advances the field of automated negotiation for complex service acquisition.