技能 人工智能 AAMAS相关工作定位与新颖性审计

AAMAS相关工作定位与新颖性审计

v20260724
aamas-related-work
本指南旨在帮助作者为AAMAS会议投稿时,系统性地审计和定位多智能体系统的研究工作。它提供了跨越多个顶尖学术领域(如NeurIPS、ICML、AAAI、博弈论等)的文献对比方法,指导作者从多智能体强化学习、博弈论和社会选择的角度,精准阐述论文的独特创新点和学术贡献,确保投稿的学术定位准确。
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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>
信息
Category 人工智能
Name aamas-related-work
版本 v20260724
大小 3.79KB
更新时间 2026-07-28
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