Analyzing the Robustness of Decision Strategies in Multiagent Decision Making

David A. Pelta () and Ronald R. Yager ()
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David A. Pelta: University of Granada
Ronald R. Yager: Iona College

Group Decision and Negotiation, 2014, vol. 23, issue 6, No 10, 1403-1416

Abstract: 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.

Keywords: Group decision making; Strategic manipulation; Optimization (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s10726-013-9376-0

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