Complexity of Judgment Aggregation
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Abstract (arXiv)
We analyse the computational complexity of three problems in judgment aggregation: (1) computing a collective judgment from a profile of individual judgments (the winner determination problem); (2) deciding whether a given agent can influence the outcome of a judgment aggregation procedure in her favour by reporting insincere judgments (the strategic manipulation problem); and (3) deciding whether a given judgment aggregation scenario is guaranteed to result in a logically consistent outcome, independently from what the judgments supplied by the individuals are (the problem of the safety of the agenda). We provide results both for specific aggregation procedures (the quota rules, the premise-based procedure, and a distance-based procedure) and for classes of aggregation procedures characterised in terms of fundamental axioms.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Jan 2014.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1.
2 papers.
- 2021Egalitarian Judgment Aggregationcited by 2
- 2023Approximation Algorithms for Preference Aggregation Using CP-Netscited by 0
- 2023Approximation Algorithms for Preference Aggregation Using CP-Nets14 Dec 2023
- 2021Egalitarian Judgment Aggregation4 Feb 2021