Use when explaining or planning around AAMAS peer review, covering OpenReview review release, the double-blind rebuttal on preliminary reviews, area-chair discussion, the mixed game-theory, MARL, and systems reviewer pool, the public posting of reviews and decisions, and how acceptance criteria weigh the interaction contribution.
NewMaintained
Automatic
◆Research pack
Last verified 8/15/2026
What it changes
Passed 11 of 22 test cases with the skill, and 11 of 22 without it.
Without skill50%
With skill50%
Checks it passed that the model alone missed
Identifies Area Chairs as decision actors
Identifies Program Chairs as decision actors
Identifies unpinned solution concepts as a primary failure mode
and 4 more in the full report
5 fixed6 passed either way6 still failing5 broke
Pass-rate lift
0 pp
Tokens
-8%
Agent turns
0%
Response time
-42%
Model gemini-3.6-flashMeasured 8/15/2026v111 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 5
Prompt
Our multiagent paper has been officially accepted to AAMAS. We are now preparing the final paper files. Output the current strategic position using the standard five-part bracketed structure.
What was checked, without and with the skill
Checked
Without skill
With skill
Identifies the current stage as camera-ready
Passed
Passed
Identifies Program Chairs as decision actors
Missed
Passed
case-16 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md58 linessingle file
AAMAS Review Process
Use this to reason about review-stage strategy. Reopen the current CFP, OpenReview group,
author and reviewer instructions, and the code of conduct before making process claims; AAMAS
review specifics move between editions.
Process model
AAMAS runs submission and review on OpenReview under the IFAAMAS namespace in recent cycles.
Reviewers evaluate technical correctness, the significance of the interaction contribution,
the reality and rigor of the multiagent evaluation, clarity, reproducibility, and fit with
agents-and-multiagent-systems scope.
A rebuttal lets authors respond to preliminary reviews before the final decision; area chairs
then synthesize.
Accepted papers and their reviews are published, so the review record is durable and public.
The most useful rebuttal gives the area chair a clean rationale for acceptance, not a
point-by-point defense of every comment.
Who reviews here
The pool mixes game theorists, multiagent-RL researchers, mechanism-design and social-choice
specialists, and systems-minded reviewers; expect at least one to read the game definition and
solution concept line by line.
Because AAMAS is specialized, a paper is likely to meet a reviewer who works on exactly its
subarea, so a vague equilibrium claim or an under-specified opponent set gets caught rather
than skimmed.
Borderline interaction papers usually fail on one of three edges: the result turns out to be
single-agent in disguise, the solution concept is never pinned down, or the multiagent
evaluation is thin (self-play only, no seeds, no held-out opponents).
Scoring leverage table
Review dimension
What raises it
What sinks it
Correctness
A stated game, a named solution concept, and a body-level proof sketch
Hidden information structure; an equilibrium asserted but never defined
Significance
A finding that only exists because agents interact
An incremental single-agent gain wearing a multiagent label
Empirical support
Experiments that probe strategy: held-out opponents, deviation tests
Self-play-only curves disconnected from the claim
Clarity
One notation source and a legible game description
Notation and payoff conventions that shift between sections