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Analyzing the Robustness of Decision Strategies in Multiagent Decision Making

Author

Listed:
  • David A. Pelta

    (University of Granada)

  • Ronald R. Yager

    (Iona College)

Abstract

We consider a multiagent decision making problem where an agent, being able to estimate the preferences of other agents, defines its own in such a way that, after an aggregation process, its most desired alternative receives the highest group support. In previous work, this informed agent defined its preferences as the solution of a non-linear optimization problem. In this competitive scenario, and focusing on this agent, we analyze the amount of imprecision in the estimates that can be tolerated while still making its most preferred alternative the most supported one. We empirically show that, even when considering just the “harmful” errors in the estimates, the informed agent is able to force the group decision towards its interest.

Suggested Citation

  • David A. Pelta & Ronald R. Yager, 2014. "Analyzing the Robustness of Decision Strategies in Multiagent Decision Making," Group Decision and Negotiation, Springer, vol. 23(6), pages 1403-1416, November.
    • Handle: RePEc:spr:grdene:v:23:y:2014:i:6:d:10.1007_s10726-013-9376-0
    DOI: 10.1007/s10726-013-9376-0
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    References listed on IDEAS

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    1. Ronald R. Yager, 2007. "Multi-Agent Negotiation Using Linguistically Expressed Mediation Rules," Group Decision and Negotiation, Springer, vol. 16(1), pages 1-23, January.
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    Cited by:

    1. Zhen Zhang & Zhuolin Li, 2023. "Consensus-based TOPSIS-Sort-B for multi-criteria sorting in the context of group decision-making," Annals of Operations Research, Springer, vol. 325(2), pages 911-938, June.

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