Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Evi Micha"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:4908-4916
Motivated by fair division applications, we study a fair connected graph partitioning problem, in which an undirected graph with m nodes must be divided between n agents such that each agent receives a connected subgraph and the partition is fair. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8212168d2054c2c2601b8e2c6a0e258
https://doi.org/10.1609/aaai.v36i5.20420
https://doi.org/10.1609/aaai.v36i5.20420
Autor:
Evi Micha, Nisarg Shah
Publikováno v:
AAAI
In the standard model of voting, it is assumed that a voting rule observes the ranked preferences of each individual over a set of alternatives and makes a collective decision. In practice, however, not every individual votes. Is it possible to make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9553ce33f1fa221adeb23e1934864e0c
https://doi.org/10.1609/aaai.v34i02.5593
https://doi.org/10.1609/aaai.v34i02.5593
Publikováno v:
AAAI
Facility location is the problem of locating a public facility based on the preferences of multiple agents. In the classic framework, where each agent holds a single location on a line and can misreport it, strategyproof mechanisms for choosing the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3caeffec8b5197042e7981fa9360ad53
https://doi.org/10.1609/aaai.v34i02.5592
https://doi.org/10.1609/aaai.v34i02.5592
Publikováno v:
IJCAI
We introduce a new model for two-sided matching which allows us to borrow popular fairness notions from the fair division literature such as envy-freeness up to one good and maximin share guarantee. In our model, each agent is matched to multiple age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::800e8d015272aac98acca59f97ce68a3
https://doi.org/10.24963/ijcai.2021/29
https://doi.org/10.24963/ijcai.2021/29
Autor:
Ioannis Caragiannis, Evi Micha
Publikováno v:
IJCAI
Liquid democracy, which combines features of direct and representative democracy has been proposed as a modern practice for collective decision making. Its advocates support that by allowing voters to delegate their vote to more informed voters can r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4d8c9a524cc595d24c9334570f2bfd0
https://doi.org/10.24963/ijcai.2019/17
https://doi.org/10.24963/ijcai.2019/17
Publikováno v:
Algorithmic Game Theory ISBN: 9783030304720
SAGT
Algorithmic Game Theory-12th International Symposium, SAGT 2019, Athens, Greece, September 30 – October 3, 2019, Proceedings
ALGORITHMIC GAME THEORY (SAGT 2019)
Artificial Intelligence
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Algorithmic Game Theory
SAGT
Algorithmic Game Theory-12th International Symposium, SAGT 2019, Athens, Greece, September 30 – October 3, 2019, Proceedings
ALGORITHMIC GAME THEORY (SAGT 2019)
Artificial Intelligence
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Algorithmic Game Theory
Voting can abstractly model any decision-making scenario and as such it has been extensively studied over the decades. Recently, the related literature has focused on quantifying the impact of utilizing only limited information in the voting process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64ef9eddcba22339b51f200fb7d7d2b5
http://arxiv.org/abs/1905.01882
http://arxiv.org/abs/1905.01882
Autor:
Ioannis Caragiannis, Evi Micha
Publikováno v:
IJCAI
We consider a voting scenario where agents have opinions that are estimates of an underlying common ground truth ranking of the available alternatives, and each agent is asked to approve a set with her most preferred alternatives. We assume that esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46a4eb1086c98674c3fc84c2a5ccefaa
https://doi.org/10.24963/ijcai.2017/22
https://doi.org/10.24963/ijcai.2017/22