We consider the problem of effectively finding a subset of reps (representatives) from a large group of agents belonging to a metric space while considering three distinct notions of fairness. First, each agent should be close to a rep (while precisely how close depends on population densities). Second, reps should satisfy a given social equity constraint specifying the number of representatives with each property value. Finally, reps should be similar, in their property value, to that of the community of agents whom they represent.
|Original language||American English|
|Number of pages||3|
|Journal||Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS|
|State||Published - 2023|
|Event||22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 - London, United Kingdom|
Duration: 29 May 2023 → 2 Jun 2023
Bibliographical noteFunding Information:
The authors were partially supported by the ISF (Israel Science Foundation, Grant 359/21).
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