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An Argumentation-Driven Model for Flexible and Efficient Persuasive Negotiation

Author

Listed:
  • Jamal Bentahar

    (Concordia University)

  • Jihad Labban

    (Concordia University)

Abstract

The purpose of this paper is to propose a formal description and implementation of a negotiation protocol between autonomous agents using persuasive argumentation. This protocol is designed to be simple and computationally efficient. The computational efficiency is achieved by specifying the protocol as a set of simple logical rules that software agents can easily combine. These latter are specified as a set of computational dialogue games about which agents can reason. The protocol converges by checking the termination conditions. The paper discusses the formal properties of the protocol and addresses, as proof of concept, the implementation issues using an agent-oriented platform equipped with logical programming mechanisms.

Suggested Citation

  • Jamal Bentahar & Jihad Labban, 2011. "An Argumentation-Driven Model for Flexible and Efficient Persuasive Negotiation," Group Decision and Negotiation, Springer, vol. 20(4), pages 411-435, July.
    • Handle: RePEc:spr:grdene:v:20:y:2011:i:4:d:10.1007_s10726-009-9163-0
    DOI: 10.1007/s10726-009-9163-0
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    References listed on IDEAS

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    1. Elhadi Shakshuki & André Trudel & Yiqing Xu, 2007. "A Multi-Agent Temporal Constraint Satisfaction System Based on Allen's Interval Algebra and Probabilities," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 2(2), pages 45-64, April.
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    Cited by:

    1. Gianvincenzo Alfano & Sergio Greco & Francesco Parisi, 2019. "An Incremental Algorithm for Computing the Grounded Extension of Dynamic Abstract Argumentation Frameworks," Group Decision and Negotiation, Springer, vol. 28(5), pages 935-960, October.

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