Cited by 52Game Theory and ApplicationsGame Theory and Voting SystemsEvolutionary Game Theory and Cooperation

Program equilibrium

Tennenholtz, Moshe·2004·Games and Economic Behavior

Integrity signals

Registry

Crossref · 10.1016/j.geb.2004.02.002

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Autonomous AI agents might serve as credible commitment devices, enabling actors to carry out actions based on complex conditions and helping solve problems with incomplete contracting.

    “Autonomous AI agents themselves might also serve as credible commitment devices (Howard, 1988; McAfee, 1984; Tennenholtz, 2004), enabling actors to carry out actions based on potentially complex conditions and thus helping to solve problems with incomplete contracting (Schmitz, 2001).”

    From Multi-Agent Risks from Advanced AI (2025) · cites this paper as Tennenholtz, 2004

Cited by

Sorted by citations

Authors
Tennenholtz, M.
Affiliations
Technion – Israel Institute of Technology (IL)
Corresponding author
Tennenholtz, Moshe
Venue
Games and Economic Behavior
Publisher
Elsevier BV
Published
2004-11
Volume
49
Issue
2
Pages
363-373
ISSN
0899-8256 (ISSN-L)
OpenAlex
W4245774394
Cited by
52
References
0
Citations by year
2025: 1 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 4 · 2017: 3 · 2016: 3 · 2015: 5 · 2014: 2 · 2013: 2 · 2012: 3
FWCI
0.99
Type
journal article
Language
en
Open access
closed
Locations
  • Games and Economic Behavior (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
  • Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
Keywords
mutual cooperation, internet economy, agent technology, computational game theory, John von Neumann

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review