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-workInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aamas-related-work (this skill)by brycewang-stanford | 83 | 1.2k | 18d ago | SKILL.md |
| last30days-skillby mvanhorn | 100 | 63.4k | 2d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 12d ago | SKILL.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.
Skill content
View source on GitHubname: 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>
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
