Strategyproof facility location mechanisms on discrete trees

Autor: Alina Filimonov, Reshef Meir

Publikováno v: Autonomous Agents and Multi-Agent Systems. 37

We address the problem of strategyproof (SP) facility location mechanisms on discrete trees. Our main result is a full characterization of onto and SP mechanisms. In particular, we prove that when a single agent significantly affects the outcome, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5907a587883412fe74f40d9af67d5695
https://doi.org/10.1007/s10458-022-09592-4

Representative Committees of Peers

Autor: Reshef Meir, Fedor Sandomirskiy, Moshe Tennenholtz

Publikováno v: Journal of Artificial Intelligence Research. 71:401-429

A population of voters must elect representatives among themselves to decide on a sequence of possibly unforeseen binary issues. Voters care only about the final decision, not the elected representatives. The disutility of a voter is proportional to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d946be6b5c65cf0d50cd52aa4f1238d6
https://doi.org/10.1613/jair.1.12521

Proxy Manipulation for Better Outcomes

Autor: Gili Bielous, Reshef Meir

Publikováno v: Multi-Agent Systems ISBN: 9783031206139

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::271c8b05d90cc83fc91bf3f7d430d8aa
https://doi.org/10.1007/978-3-031-20614-6_5

Heuristic Voting as Ordinal Dominance Strategies

Autor: Omer Lev, Maria Polukarov, Svetlana Obraztsova, Reshef Meir

Publikováno v: AAAI

Decision making under uncertainty is a key component of many AI settings, and in particular of voting scenarios where strategic agents are trying to reach a joint decision. The common approach to handle uncertainty is by maximizing expected utility,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49a02042d3d5d05a496c20e29b926d8c
https://doi.org/10.1609/aaai.v33i01.33012077

Distance-based equilibria in normal-form games

Autor: Erman Acar, Reshef Meir

Publikováno v: Acar, E & Meir, R 2020, Distance-based equilibria in normal-form games . in Proceedings of the AAAI Conference on Artificial Intelligence [2020] . Proceedings of the AAAI Conference on Artificial Intelligence, no. 2, vol. 34, AAAI Press, pp. 1750-1757, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, New York, United States, 7/02/20 . https://doi.org/10.1609/aaai.v34i02.5540
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence [2020], 1750-1757
STARTPAGE=1750;ENDPAGE=1757;TITLE=Proceedings of the AAAI Conference on Artificial Intelligence [2020]

We propose a simple uncertainty modification for the agent model in normal-form games; at any given strategy profile, the agent can access only a set of "possible profiles" that are within a certain distance from the actual action profile. We investi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b95df652b9012de626c55288a3c3d1
https://hdl.handle.net/1871.1/a696b134-6ffd-48b9-8cd4-5cee53b69329