Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when planning an AAMAS project timeline from venue fit through abstract, full-paper or extended-abstract upload, supplementary material, the double-blind rebuttal, decision, IFAAMAS camera-ready, registration, and presentation, with track-specific deadlines and backward-planning offsets for a game-theory-plus-experiments paper.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this as the project-management skill for an AAMAS submission. Replace every date with the current official timetable and work backward from the OpenReview cutoffs.
AAMAS is a conference owned by IFAAMAS, not a journal: it has no editor-in-chief and no article-processing charge. Each edition is run by rotating General and Program Chairs, the cost model is registration, and accepted papers are published open-access by IFAAMAS. Re-check the current CFP and organization page rather than carrying names or dates forward - as of 2026-07-09 the live target is AAMAS 2027, whose full timetable was not yet confirmable.
| Weeks out (heuristic) | Game-theory-plus-experiments milestone |
|---|---|
| 8+ | Game defined, solution concept fixed, theorems proved |
| 6 | Self-play and opponent sets designed against each claim |
| 4 | Population runs complete, seeds logged |
| 3 | Full draft in AAMAS two-column format |
| 2 | Internal mock review by a game-theory-minded reader |
| 1 | Anonymity sweep, supplement assembly, deviation-test check |
| 0 | Abstract then paper on OpenReview; supplement by its own cutoff |
These offsets are planning heuristics only - anchor each to the current official timetable, and remember the AAAI, JAAMAS, and Blue Sky tracks have different deadlines.
[Current stage] idea / experiments / writing / abstract / submission / supplement / rebuttal / accepted
[Track + next deadline] <track and date/source, or unknown>
[Critical path] <three tasks that determine readiness>
[Risk register] <page / anonymity / interaction evidence / supplement / presentation>
[Owner map] <task -> person or role>
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.