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Documents authored by Tardos, Eva

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Tardos, Éva

Document
DOI: 10.4230/LIPIcs.ITCS.2026.96
Robust Resource Allocation via Competitive Subsidies

Authors: David X. Lin, Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos

Published in: LIPIcs, Volume 362, 17th Innovations in Theoretical Computer Science Conference (ITCS 2026)

Abstract
A canonical setting for non-monetary online resource allocation is one where agents compete over multiple rounds for a single item per round, with i.i.d. valuations and additive utilities across rounds. With n symmetric agents, a natural benchmark for each agent is the utility realized by her favorite 1/n-fraction of rounds; a line of work has demonstrated one can robustly guarantee each agent a constant fraction of this ideal utility, irrespective of how other agents behave. In particular, several mechanisms have been shown to be 1/2-robust, and recent work established that repeated first-price auctions based on artificial credits have a robustness factor of 0.59, which cannot be improved beyond 0.6 using first-price and simple strategies. In contrast, even without strategic considerations, the best achievable factor is 1-1/e≈ 0.63. In this work, we break the 0.6 first-price barrier to get a new 0.625-robust mechanism, which almost closes the gap to the non-strategic robustness bound. Surprisingly, we do so via a simple auction, where in each round, bidders decide if they ask for the item, and we allocate uniformly at random among those who ask. The main new ingredient is the idea of competitive subsidies, wherein we charge the winning agent an amount in artificial credits that decreases when fewer agents are bidding (specifically, when k agents bid, then the winner pays proportional to k/(k+1), varying the payment by a factor of 2 depending on the competition). Moreover, we show how it can be modified to get an equilibrium strategy with a slightly weaker robust guarantee of 5/(3e) ≈ 0.61 (and the optimal 1-1/e factor at equilibrium). Finally, we show that our mechanism gives the best possible bound under a wide class of auction-based mechanisms.
Cite as

David X. Lin, Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos. Robust Resource Allocation via Competitive Subsidies. In 17th Innovations in Theoretical Computer Science Conference (ITCS 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 362, pp. 96:1-96:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{lin_et_al:LIPIcs.ITCS.2026.96,
  author =	{Lin, David X. and Fikioris, Giannis and Banerjee, Siddhartha and Tardos, \'{E}va},
  title =	{{Robust Resource Allocation via Competitive Subsidies}},
  booktitle =	{17th Innovations in Theoretical Computer Science Conference (ITCS 2026)},
  pages =	{96:1--96:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-410-9},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{362},
  editor =	{Saraf, Shubhangi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2026.96},
  URN =		{urn:nbn:de:0030-drops-253835},
  doi =		{10.4230/LIPIcs.ITCS.2026.96},
  annote =	{Keywords: Online Resource Allocation, Non-Monetary Mechanisms}
}
Document
DOI: 10.4230/LIPIcs.ITCS.2021.74
Randomness and Fairness in Two-Sided Matching with Limited Interviews

Authors: Hedyeh Beyhaghi and Éva Tardos

Published in: LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)

Abstract
We study the outcome in a matching market where both sides have limited ability to consider options. For example, in the national residency matching program, doctors are limited to apply to a small set of hospitals, and hospitals are limited by the time required to interview candidates. Our main findings are the following: (1) In markets where jobs can only consider a limited number of candidates for interview, it increases the size of the resulting matching if the system has a limit on the number of applications a candidate can send. (2) The fair system of all applicants being allowed to apply to the exact same number of positions maximizes the expected size of the matching. More particularly, starting from an integer k as the number of applications, the matching size decreases as a few applicants are allowed to apply to one additional position (and then increases again as they are all allowed to apply to k+1). Although it seems natural to expect that the size of the matching would be a monotone increasing and concave function in the number of applications, our results show that neither is true. These results hold even in a market where a-priori all jobs and all candidates are equally likely to be good, and the judgments of different employers and candidates are independent. Our main technical contribution is computing the expected size of the matching found via the deferred acceptance algorithm as a function of the number of interviews and applications in a market where preferences are uniform and independent. Through simulations we confirm that these findings extend to markets where rankings become correlated after the interviews.
Cite as

Hedyeh Beyhaghi and Éva Tardos. Randomness and Fairness in Two-Sided Matching with Limited Interviews. In 12th Innovations in Theoretical Computer Science Conference (ITCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 185, pp. 74:1-74:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{beyhaghi_et_al:LIPIcs.ITCS.2021.74,
  author =	{Beyhaghi, Hedyeh and Tardos, \'{E}va},
  title =	{{Randomness and Fairness in Two-Sided Matching with Limited Interviews}},
  booktitle =	{12th Innovations in Theoretical Computer Science Conference (ITCS 2021)},
  pages =	{74:1--74:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-177-1},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{185},
  editor =	{Lee, James R.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.74},
  URN =		{urn:nbn:de:0030-drops-136139},
  doi =		{10.4230/LIPIcs.ITCS.2021.74},
  annote =	{Keywords: Matching with Short Lists, Stable Matching, Balls in Bins Problem}
}
Document
DOI: 10.4230/DagRep.3.4.69
Interface of Computation, Game Theory, and Economics (Dagstuhl Seminar 13161)

Authors: Sergiu Hart, Éva Tardos, and Bernhard von Stengel

Published in: Dagstuhl Reports, Volume 3, Issue 4 (2013)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13161 "Interface of Computation, Game Theory, and Economics". The workshop was strongly interdisciplinary, on the leading edge of current topics generally connected to algorithmic game theory: Mechanism design and auctions, interactions in networks, social models, and dynamics and equilibrium in games and markets. We summarize these topics, give the talk abstracts, and comment on experiences related to the organization of the workshop.
Cite as

Sergiu Hart, Éva Tardos, and Bernhard von Stengel. Interface of Computation, Game Theory, and Economics (Dagstuhl Seminar 13161). In Dagstuhl Reports, Volume 3, Issue 4, pp. 69-90, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{hart_et_al:DagRep.3.4.69,
  author =	{Hart, Sergiu and Tardos, \'{E}va and von Stengel, Bernhard},
  title =	{{Interface of Computation, Game Theory, and Economics (Dagstuhl Seminar 13161)}},
  pages =	{69--90},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{4},
  editor =	{Hart, Sergiu and Tardos, \'{E}va and von Stengel, Bernhard},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.3.4.69},
  URN =		{urn:nbn:de:0030-drops-41341},
  doi =		{10.4230/DagRep.3.4.69},
  annote =	{Keywords: Algorithmic Game Theory, Economics, Internet, Nash Equilibrium, Mechanism Design, Auctions}
}
Document
DOI: 10.4230/DagSemProc.07471.1
07471 Abstracts Collection – Equilibrium Computation

Authors: P. Jean-Jacques Herings, Marcin Jurdzinski, Peter Bro Miltersen, Eva Tardos, and Bernhard von Stengel

Published in: Dagstuhl Seminar Proceedings, Volume 7471, Equilibrium Computation (2008)

Abstract
From 18 to 23 November 2007, the Dagstuhl Seminar 07471 ``Equilibrium Computation'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

P. Jean-Jacques Herings, Marcin Jurdzinski, Peter Bro Miltersen, Eva Tardos, and Bernhard von Stengel. 07471 Abstracts Collection – Equilibrium Computation. In Equilibrium Computation. Dagstuhl Seminar Proceedings, Volume 7471, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{herings_et_al:DagSemProc.07471.1,
  author =	{Herings, P. Jean-Jacques and Jurdzinski, Marcin and Bro Miltersen, Peter and Tardos, Eva and von Stengel, Bernhard},
  title =	{{07471 Abstracts Collection – Equilibrium Computation}},
  booktitle =	{Equilibrium Computation},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7471},
  editor =	{P. Jean-Jacques Herings and Marcin Jurdzinski and Peter Bro Miltersen and Eva Tardos and Bernhard von Stengel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07471.1},
  URN =		{urn:nbn:de:0030-drops-15286},
  doi =		{10.4230/DagSemProc.07471.1},
  annote =	{Keywords: Equilibrium, algorithm, polynomial time, game theory, economics}
}
Document
DOI: 10.4230/DagSemProc.07271.1
07271 Abstracts Collection – Computational Social Systems and the Internet

Authors: Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz

Published in: Dagstuhl Seminar Proceedings, Volume 7271, Computational Social Systems and the Internet (2007)

Abstract
From 01.07. to 06.07.2007, the Dagstuhl Seminar 07271 ``Computational Social Systems and the Internet'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz. 07271 Abstracts Collection – Computational Social Systems and the Internet. In Computational Social Systems and the Internet. Dagstuhl Seminar Proceedings, Volume 7271, pp. 1-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{cramton_et_al:DagSemProc.07271.1,
  author =	{Cramton, Peter and M\"{u}ller, Rudolf and Tardos, Eva and Tennenholtz, Moshe},
  title =	{{07271 Abstracts Collection – Computational Social Systems and the Internet }},
  booktitle =	{Computational Social Systems and the Internet},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7271},
  editor =	{Peter Cramton and Rudolf M\"{u}ller and Eva Tardos and Moshe Tennenholtz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07271.1},
  URN =		{urn:nbn:de:0030-drops-11666},
  doi =		{10.4230/DagSemProc.07271.1},
  annote =	{Keywords: Mechanism Design, Combinatorial Auctions, Social Choice Theory, Behavioral Economics, Computational Game Theory, Social Networks}
}
Document
DOI: 10.4230/DagSemProc.07271.2
07271 Summary – Computational Social Systems and the Internet

Authors: Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz

Published in: Dagstuhl Seminar Proceedings, Volume 7271, Computational Social Systems and the Internet (2007)

Abstract
The seminar "Computational Social Systems and the Internet" facilitated a very fruitful interaction between economists and computer scientists, which intensified the understanding of the other disciplines' tool sets. The seminar helped to pave the way to a unified theory of social systems on the Internet that takes into account both the economic and the computational issues---and their deep interaction.
Cite as

Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz. 07271 Summary – Computational Social Systems and the Internet. In Computational Social Systems and the Internet. Dagstuhl Seminar Proceedings, Volume 7271, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{cramton_et_al:DagSemProc.07271.2,
  author =	{Cramton, Peter and M\"{u}ller, Rudolf and Tardos, Eva and Tennenholtz, Moshe},
  title =	{{07271 Summary – Computational Social Systems and the Internet }},
  booktitle =	{Computational Social Systems and the Internet},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7271},
  editor =	{Peter Cramton and Rudolf M\"{u}ller and Eva Tardos and Moshe Tennenholtz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07271.2},
  URN =		{urn:nbn:de:0030-drops-11642},
  doi =		{10.4230/DagSemProc.07271.2},
  annote =	{Keywords: Mechanism Design, Combinatorial Auctions, Social Choice Theory, Behavioral Economics, Computational Game Theory, Social Networks}
}

Tardos, Eva

Document
DOI: 10.4230/LIPIcs.ITCS.2026.96
Robust Resource Allocation via Competitive Subsidies

Authors: David X. Lin, Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos

Published in: LIPIcs, Volume 362, 17th Innovations in Theoretical Computer Science Conference (ITCS 2026)

Abstract
A canonical setting for non-monetary online resource allocation is one where agents compete over multiple rounds for a single item per round, with i.i.d. valuations and additive utilities across rounds. With n symmetric agents, a natural benchmark for each agent is the utility realized by her favorite 1/n-fraction of rounds; a line of work has demonstrated one can robustly guarantee each agent a constant fraction of this ideal utility, irrespective of how other agents behave. In particular, several mechanisms have been shown to be 1/2-robust, and recent work established that repeated first-price auctions based on artificial credits have a robustness factor of 0.59, which cannot be improved beyond 0.6 using first-price and simple strategies. In contrast, even without strategic considerations, the best achievable factor is 1-1/e≈ 0.63. In this work, we break the 0.6 first-price barrier to get a new 0.625-robust mechanism, which almost closes the gap to the non-strategic robustness bound. Surprisingly, we do so via a simple auction, where in each round, bidders decide if they ask for the item, and we allocate uniformly at random among those who ask. The main new ingredient is the idea of competitive subsidies, wherein we charge the winning agent an amount in artificial credits that decreases when fewer agents are bidding (specifically, when k agents bid, then the winner pays proportional to k/(k+1), varying the payment by a factor of 2 depending on the competition). Moreover, we show how it can be modified to get an equilibrium strategy with a slightly weaker robust guarantee of 5/(3e) ≈ 0.61 (and the optimal 1-1/e factor at equilibrium). Finally, we show that our mechanism gives the best possible bound under a wide class of auction-based mechanisms.
Cite as

David X. Lin, Giannis Fikioris, Siddhartha Banerjee, and Éva Tardos. Robust Resource Allocation via Competitive Subsidies. In 17th Innovations in Theoretical Computer Science Conference (ITCS 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 362, pp. 96:1-96:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{lin_et_al:LIPIcs.ITCS.2026.96,
  author =	{Lin, David X. and Fikioris, Giannis and Banerjee, Siddhartha and Tardos, \'{E}va},
  title =	{{Robust Resource Allocation via Competitive Subsidies}},
  booktitle =	{17th Innovations in Theoretical Computer Science Conference (ITCS 2026)},
  pages =	{96:1--96:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-410-9},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{362},
  editor =	{Saraf, Shubhangi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2026.96},
  URN =		{urn:nbn:de:0030-drops-253835},
  doi =		{10.4230/LIPIcs.ITCS.2026.96},
  annote =	{Keywords: Online Resource Allocation, Non-Monetary Mechanisms}
}
Document
DOI: 10.4230/LIPIcs.ITCS.2021.74
Randomness and Fairness in Two-Sided Matching with Limited Interviews

Authors: Hedyeh Beyhaghi and Éva Tardos

Published in: LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)

Abstract
We study the outcome in a matching market where both sides have limited ability to consider options. For example, in the national residency matching program, doctors are limited to apply to a small set of hospitals, and hospitals are limited by the time required to interview candidates. Our main findings are the following: (1) In markets where jobs can only consider a limited number of candidates for interview, it increases the size of the resulting matching if the system has a limit on the number of applications a candidate can send. (2) The fair system of all applicants being allowed to apply to the exact same number of positions maximizes the expected size of the matching. More particularly, starting from an integer k as the number of applications, the matching size decreases as a few applicants are allowed to apply to one additional position (and then increases again as they are all allowed to apply to k+1). Although it seems natural to expect that the size of the matching would be a monotone increasing and concave function in the number of applications, our results show that neither is true. These results hold even in a market where a-priori all jobs and all candidates are equally likely to be good, and the judgments of different employers and candidates are independent. Our main technical contribution is computing the expected size of the matching found via the deferred acceptance algorithm as a function of the number of interviews and applications in a market where preferences are uniform and independent. Through simulations we confirm that these findings extend to markets where rankings become correlated after the interviews.
Cite as

Hedyeh Beyhaghi and Éva Tardos. Randomness and Fairness in Two-Sided Matching with Limited Interviews. In 12th Innovations in Theoretical Computer Science Conference (ITCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 185, pp. 74:1-74:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{beyhaghi_et_al:LIPIcs.ITCS.2021.74,
  author =	{Beyhaghi, Hedyeh and Tardos, \'{E}va},
  title =	{{Randomness and Fairness in Two-Sided Matching with Limited Interviews}},
  booktitle =	{12th Innovations in Theoretical Computer Science Conference (ITCS 2021)},
  pages =	{74:1--74:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-177-1},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{185},
  editor =	{Lee, James R.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.74},
  URN =		{urn:nbn:de:0030-drops-136139},
  doi =		{10.4230/LIPIcs.ITCS.2021.74},
  annote =	{Keywords: Matching with Short Lists, Stable Matching, Balls in Bins Problem}
}
Document
DOI: 10.4230/DagRep.3.4.69
Interface of Computation, Game Theory, and Economics (Dagstuhl Seminar 13161)

Authors: Sergiu Hart, Éva Tardos, and Bernhard von Stengel

Published in: Dagstuhl Reports, Volume 3, Issue 4 (2013)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13161 "Interface of Computation, Game Theory, and Economics". The workshop was strongly interdisciplinary, on the leading edge of current topics generally connected to algorithmic game theory: Mechanism design and auctions, interactions in networks, social models, and dynamics and equilibrium in games and markets. We summarize these topics, give the talk abstracts, and comment on experiences related to the organization of the workshop.
Cite as

Sergiu Hart, Éva Tardos, and Bernhard von Stengel. Interface of Computation, Game Theory, and Economics (Dagstuhl Seminar 13161). In Dagstuhl Reports, Volume 3, Issue 4, pp. 69-90, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{hart_et_al:DagRep.3.4.69,
  author =	{Hart, Sergiu and Tardos, \'{E}va and von Stengel, Bernhard},
  title =	{{Interface of Computation, Game Theory, and Economics (Dagstuhl Seminar 13161)}},
  pages =	{69--90},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{4},
  editor =	{Hart, Sergiu and Tardos, \'{E}va and von Stengel, Bernhard},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.3.4.69},
  URN =		{urn:nbn:de:0030-drops-41341},
  doi =		{10.4230/DagRep.3.4.69},
  annote =	{Keywords: Algorithmic Game Theory, Economics, Internet, Nash Equilibrium, Mechanism Design, Auctions}
}
Document
DOI: 10.4230/DagSemProc.07471.1
07471 Abstracts Collection – Equilibrium Computation

Authors: P. Jean-Jacques Herings, Marcin Jurdzinski, Peter Bro Miltersen, Eva Tardos, and Bernhard von Stengel

Published in: Dagstuhl Seminar Proceedings, Volume 7471, Equilibrium Computation (2008)

Abstract
From 18 to 23 November 2007, the Dagstuhl Seminar 07471 ``Equilibrium Computation'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

P. Jean-Jacques Herings, Marcin Jurdzinski, Peter Bro Miltersen, Eva Tardos, and Bernhard von Stengel. 07471 Abstracts Collection – Equilibrium Computation. In Equilibrium Computation. Dagstuhl Seminar Proceedings, Volume 7471, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{herings_et_al:DagSemProc.07471.1,
  author =	{Herings, P. Jean-Jacques and Jurdzinski, Marcin and Bro Miltersen, Peter and Tardos, Eva and von Stengel, Bernhard},
  title =	{{07471 Abstracts Collection – Equilibrium Computation}},
  booktitle =	{Equilibrium Computation},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7471},
  editor =	{P. Jean-Jacques Herings and Marcin Jurdzinski and Peter Bro Miltersen and Eva Tardos and Bernhard von Stengel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07471.1},
  URN =		{urn:nbn:de:0030-drops-15286},
  doi =		{10.4230/DagSemProc.07471.1},
  annote =	{Keywords: Equilibrium, algorithm, polynomial time, game theory, economics}
}
Document
DOI: 10.4230/DagSemProc.07271.1
07271 Abstracts Collection – Computational Social Systems and the Internet

Authors: Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz

Published in: Dagstuhl Seminar Proceedings, Volume 7271, Computational Social Systems and the Internet (2007)

Abstract
From 01.07. to 06.07.2007, the Dagstuhl Seminar 07271 ``Computational Social Systems and the Internet'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz. 07271 Abstracts Collection – Computational Social Systems and the Internet. In Computational Social Systems and the Internet. Dagstuhl Seminar Proceedings, Volume 7271, pp. 1-25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

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@InProceedings{cramton_et_al:DagSemProc.07271.1,
  author =	{Cramton, Peter and M\"{u}ller, Rudolf and Tardos, Eva and Tennenholtz, Moshe},
  title =	{{07271 Abstracts Collection – Computational Social Systems and the Internet }},
  booktitle =	{Computational Social Systems and the Internet},
  pages =	{1--25},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7271},
  editor =	{Peter Cramton and Rudolf M\"{u}ller and Eva Tardos and Moshe Tennenholtz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07271.1},
  URN =		{urn:nbn:de:0030-drops-11666},
  doi =		{10.4230/DagSemProc.07271.1},
  annote =	{Keywords: Mechanism Design, Combinatorial Auctions, Social Choice Theory, Behavioral Economics, Computational Game Theory, Social Networks}
}
Document
DOI: 10.4230/DagSemProc.07271.2
07271 Summary – Computational Social Systems and the Internet

Authors: Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz

Published in: Dagstuhl Seminar Proceedings, Volume 7271, Computational Social Systems and the Internet (2007)

Abstract
The seminar "Computational Social Systems and the Internet" facilitated a very fruitful interaction between economists and computer scientists, which intensified the understanding of the other disciplines' tool sets. The seminar helped to pave the way to a unified theory of social systems on the Internet that takes into account both the economic and the computational issues---and their deep interaction.
Cite as

Peter Cramton, Rudolf Müller, Eva Tardos, and Moshe Tennenholtz. 07271 Summary – Computational Social Systems and the Internet. In Computational Social Systems and the Internet. Dagstuhl Seminar Proceedings, Volume 7271, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)

Copy BibTex To Clipboard

@InProceedings{cramton_et_al:DagSemProc.07271.2,
  author =	{Cramton, Peter and M\"{u}ller, Rudolf and Tardos, Eva and Tennenholtz, Moshe},
  title =	{{07271 Summary – Computational Social Systems and the Internet }},
  booktitle =	{Computational Social Systems and the Internet},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{7271},
  editor =	{Peter Cramton and Rudolf M\"{u}ller and Eva Tardos and Moshe Tennenholtz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07271.2},
  URN =		{urn:nbn:de:0030-drops-11642},
  doi =		{10.4230/DagSemProc.07271.2},
  annote =	{Keywords: Mechanism Design, Combinatorial Auctions, Social Choice Theory, Behavioral Economics, Computational Game Theory, Social Networks}
}
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