Name
Abstract | ||
|---|---|---|
Selecting a set of alternatives based on the preferences of agents is an important problem in committee selection and beyond. Among the various criteria put forth for desirability of a committee, Pareto optimality is a minimal and important requirement. As asking agents to specify their preferences over exponentially many subsets of alternatives is practically infeasible, we assume that each agent specifies a weak order on single alternatives, from which a preference relation over subsets is derived using some preference extension. We consider four prominent extensions (responsive, leximax, best, and worst). For each of them, we consider the corresponding Pareto optimality notion, and we study the complexity of computing and verifying Pareto optimal outcomes. We also consider strategic issues: for three of the set extensions, we present linear-time, Pareto optimal and strategyproof algorithms that work even for weak preferences. |
Year | Venue | Field |
|---|---|---|
2016 | IJCAI | Strategyproof,Mathematical optimization,Preference relation,Voting,Computer science,Computational social choice,Pareto optimal,Pareto principle,Bayesian efficiency |
DocType | Citations | PageRank |
Conference | 6 | 0.48 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haris Aziz | 1 | 624 | 76.06 |
| Jérôme Lang | 2 | 2838 | 260.90 |
| Jérôme Monnot | 3 | 512 | 55.74 |