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Dialogue strategy for horizontal communication in MAS organization

Author

Listed:
  • Akram Beigi

    (Iran University of Science and Technology)

  • Nasser Mozayani

    (Iran University of Science and Technology)

Abstract

A multi agent organization model defines the structure, roles, interaction ways and coordination styles of a multi agent system. Multi agent organizations may constrain the communication between included members. Organizations’ communication is the process of sending or receiving all the messages through a group of agents in order to achieve common goals. In a dialogue, agents follow some rules that define the permissive speech acts called dialogue protocol. Aiming for common goals, the dialogue strategy is the policy of agents to choose a particular speech act among the allowed ones by the protocol. In this paper a formal model for dialogue strategy for a group of agents in an organization is proposed in order to choose the most preferable speech acts. The argumentation theory is applied to the proposed method to define the values of plausible speech acts and to rank them. The algorithm finds the best option to utter and also it decreases the volume of exchanging messages. The proposed dialogue strategy is illustrated via a deliberation dialogue example in a group of agents.

Suggested Citation

  • Akram Beigi & Nasser Mozayani, 2016. "Dialogue strategy for horizontal communication in MAS organization," Computational and Mathematical Organization Theory, Springer, vol. 22(2), pages 161-183, June.
    • Handle: RePEc:spr:comaot:v:22:y:2016:i:2:d:10.1007_s10588-015-9201-1
    DOI: 10.1007/s10588-015-9201-1
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    References listed on IDEAS

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    1. Anda, Martin & Temmen, Justin, 2014. "Smart metering for residential energy efficiency: The use of community based social marketing for behavioural change and smart grid introduction," Renewable Energy, Elsevier, vol. 67(C), pages 119-127.
    2. Philippe Mathieu & Jean-Christophe Routier & Yann Secq, 2002. "Dynamic organization of multi-agent systems," Post-Print hal-00731955, HAL.
    3. Ming-Tse Kuo & Shiue-Der Lu, 2013. "Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids," Energies, MDPI, vol. 6(11), pages 1-15, November.
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