aiqbench analysis
This paper investigates the outer diversity of Condorcet domains, focusing on the expected swap distance from random votes to the nearest domain member. The study combines numerical analysis for small candidate sets with theoretical asymptotic results for specific domains. While rooted in social choice theory and game theory, its relevance to TechPulse lies in its application to multiagent systems and AI voting mechanisms where preference aggregation is central.
Outer Diversity of Condorcet Domains
arXiv:2610.00720v1 Announce Type: cross Abstract: A Condorcet domain is a set of rankings over a given candidate set, such that every election that consists only of (an odd number of) votes from the domain has a transitive majority relation. We study outer diversity of Condorcet domains, i.e., a measure that quantifies expected swap distance from a random vote to a closest one in the domain. We numerically analyze outer diversity for maximal Condorcet domains with few candidates, and then we establish its asymptotic behavior for several special domains, mostly obtaining theoretical results.
Abstract:A Condorcet domain is a set of rankings over a given candidate set, such that every election that consists only of (an odd number of) votes from the domain has a transitive majority relation. We study outer diversity of Condorcet domains, i.e., a measure that quantifies expected swap distance from a random vote to a closest one in the domain. We numerically analyze outer diversity for maximal Condorcet domains with few candidates, and then we establish its asymptotic behavior for several special domains, mostly obtaining theoretical results.
Computer Science and Game Theory (cs.GT); Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)
arXiv:2610.00720 [cs.GT]
(or arXiv:2610.00720v1 [cs.GT] for this version)
https://doi.org/10.48550/arXiv.2610.00720 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 190 words
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