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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, Ne…

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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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