Zobrazeno 1 - 10
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pro vyhledávání: '"Nehama, Ilan"'
Autor:
Heller, Yuval, Nehama, Ilan
Publikováno v:
Forthcoming in the Journal of Economic Theory (JET), 2023, virtual special issue on evolutionary game theory
We examine the evolutionary basis for risk aversion with respect to aggregate risk. We study populations in which agents face choices between alternatives with different levels of aggregate risk. We show that the choices that maximize the long-run gr
Externí odkaz:
http://arxiv.org/abs/2110.11245
Autor:
Nehama, Ilan
This work deals with the implementation of social choice rules using dominant strategies for unrestricted preferences. The seminal Gibbard-Satterthwaite theorem shows that only few unappealing social choice rules can be implemented unless we assume s
Externí odkaz:
http://arxiv.org/abs/1910.12131
The prophet and secretary problems demonstrate online scenarios involving the optimal stopping theory. In a typical prophet or secretary problem, selection decisions are assumed to be immediate and irrevocable. However, many online settings accommoda
Externí odkaz:
http://arxiv.org/abs/1805.05094
In many real-life scenarios, a group of agents needs to agree on a common action, e.g., on the location for a public facility, while there is some consistency between their preferences, e.g., all preferences are derived from a common metric space. Th
Externí odkaz:
http://arxiv.org/abs/1804.03759
Autor:
Nehama, Ilan
In many common interactive scenarios, participants lack information about other participants, and specifically about the preferences of other participants. In this work, we model an extreme case of incomplete information, which we term games with typ
Externí odkaz:
http://arxiv.org/abs/1603.01524
Autor:
Nehama, Ilan
In this paper we analyze judgement aggregation problems in which a group of agents independently votes on a set of complex propositions that has some interdependency constraint between them(e.g., transitivity when describing preferences). We consider
Externí odkaz:
http://arxiv.org/abs/1008.3829
Akademický článek
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Publikováno v:
Royal Society Open Science, Vol 8, Iss 8 (2021)
Edhan, O, Hellman, Z & Nehama, I 2021, ' Making the most of potential: potential games and genotypic convergence ', Royal Society Open Science, vol. 8, no. 8, 210309 . https://doi.org/10.1098/rsos.210309
Royal Society Open Science
Edhan, O, Hellman, Z & Nehama, I 2021, ' Making the most of potential: potential games and genotypic convergence ', Royal Society Open Science, vol. 8, no. 8, 210309 . https://doi.org/10.1098/rsos.210309
Royal Society Open Science
We consider genotypic convergence of populations and show that under fixed fitness asexual and haploid sexual populations attain monomorphic convergence (even under genetic linkage between loci) to basins of attraction with locally exponential conver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84e65f3ca444cbfdcbe5ce7cfac846f9
https://royalsocietypublishing.org/doi/10.1098/rsos.210309
https://royalsocietypublishing.org/doi/10.1098/rsos.210309
Autor:
Nehama, Ilan
Publikováno v:
Algorithmic Decision Theory: 4th International Conference, ADT 2015, Lexington, KY, USA, September 27-30, 2015, Proceedings; 2015, p379-395, 17p