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aamas-related-work

Use when positioning an AAMAS submission against multiagent, game-theory, and reinforcement-learning literature spread across AAMAS, AAAI, IJCAI, NeurIPS, ICML, EC, and JAAMAS, including arXiv and workshop versions, concurrent submissions, prior conference versions, and the cross-community citation…

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-related-work

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Our assessment of aamas-related-work

aamas-related-work scores 83/100 on our quality scale, 334th of 429 Education & Research skills we index.

Its SKILL.md is 3.8 KB long, split into 6 sections with 1 code example: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so aamas-related-work is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

aamas-related-work compared with similar skills

All 4 of these similar skills score higher than aamas-related-work; compare them before choosing.

SkillScoreStarsUpdatedFormat
aamas-related-work (this skill)by brycewang-stanford831.2k18d agoSKILL.md
last30days-skillby mvanhorn10063.4k2d agoCLAUDE.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md
designby nextlevelbuilder100130.2k12d agoSKILL.md

Frequently asked questions

How do I install aamas-related-work?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aamas-related-work. The install tabs above show the steps for each supported agent.
Which AI agents does aamas-related-work work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is aamas-related-work safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is aamas-related-work still maintained?
The repository was last updated 18 days ago, so aamas-related-work is actively maintained.

name: aamas-related-work description: Use when positioning an AAMAS submission against multiagent, game-theory, and reinforcement-learning literature spread across AAMAS, AAAI, IJCAI, NeurIPS, ICML, EC, and JAAMAS, including arXiv and workshop versions, concurrent submissions, prior conference versions, and the cross-community citation coverage AAMAS reviewers expect.

AAMAS Related Work

Use this to audit novelty and eligibility. Reopen the current CFP for dual-submission, anonymity, and prior-publication rules before advising authors; much of the nearest multiagent work lives at other venues, which shapes both positioning and eligibility.

Positioning checks

  • Separate the interaction novelty from engineering improvement: a new solution concept, mechanism, learning-dynamics result, coordination protocol, negotiation strategy, or empirical multiagent finding.
  • Compare across communities: AAMAS itself, the AI conferences (AAAI, IJCAI), the ML conferences (NeurIPS, ICML), and economics-and-computation venues (EC), plus the JAAMAS journal. Many landmark multiagent papers are not at AAMAS, so a bibliography that only cites AAMAS is as suspicious as one that ignores it.
  • Treat conference proceedings and journals as archival unless the current rules say otherwise.
  • Cite arXiv and workshop versions without breaking double-blind; do not point reviewers to an identity-revealing page.
  • Explain overlap with any concurrent or prior version, and do not submit duplicate archival work.

Cross-community coverage table

| Literature lane | Typical sources | What AAMAS reviewers check | |---|---|---| | Agents / multiagent core | AAMAS, JAAMAS, IJCAI, AAAI agent tracks | Whether the nearest multiagent method is compared or explicitly distinguished | | Multiagent RL | NeurIPS, ICML, ICLR, prior AAMAS | Whether MADDPG/QMIX/COMA-style cousins are cited even though they are not AAMAS papers | | Game theory / mechanism design | EC, GEB, algorithmic game-theory venues | Whether the solution concept and known impossibility results are acknowledged | | Social choice / negotiation | AAMAS, AAAI, COMSOC, ADT | Whether standard axioms and strategyproofness usage are followed |

A bibliography citing only deep-MARL benchmarks tells a game-theory reviewer that known equilibrium or mechanism results may be getting rediscovered - a recognizable AAMAS reject pattern no amount of benchmark strength repairs. The mirror failure - only citing classical game theory while ignoring the deep-MARL wave - loses the empirical reviewer.

Positioning vignette

Imagine the paper proposes a communication protocol that improves cooperation in a mixed-motive game. Its nearest neighbors: a NeurIPS MARL paper with emergent communication but no incentive analysis, an EC paper with a cheap-talk equilibrium but no learning, and a prior AAMAS paper on the same game with a weaker coordination result. The novelty sentence should name all three: incentives where the MARL line had none, learning where the game-theory line stayed static, and stronger coordination than the direct AAMAS predecessor.

Concurrent-work judgment calls

  • Independently concurrent arXiv work: cite neutrally, state the technical difference, and avoid priority claims reviewers cannot verify.
  • Your own workshop version: usually non-archival and citable, but verify against the current CFP and phrase the citation so double-blind survives.
  • When unsure about a venue's archival status, declare the overlap in the submission form rather than gambling on a chair's reading.

Output format

[Eligibility] clear / needs declaration / risky
[Closest literatures] <agents / MARL / game-theory / social-choice>
[Nearest 3 works] <work -> distinction>
[Archival-overlap risk] <none / issues>
[Novelty sentence] <AAMAS-ready interaction contrast>

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryEducation
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions