International Conference On Autonomous Agents And Multiagent Systems

International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Conference positioning

International Conference on Autonomous Agents and Multiagent Systems (AAMAS) is a top computer-science conference venue for autonomous agents, multiagent learning, game-theoretic interaction, auctions, negotiation, and coordination. It rewards a paper where agent interaction, incentives, or decentralized decision-making is the main object. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

• The author names AAMAS / International Conference on Autonomous Agents and Multiagent Systems as the target venue.
• A manuscript in autonomous agents needs a conference-fit read before being formatted or submitted.
• The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
• The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

• Core fit: autonomous agents, multiagent learning, game-theoretic interaction, auctions, negotiation, and coordination.
• Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
• The paper should explain why the result matters to AAMAS's reviewers, not just why it is interesting to the authors' lab or product context.
• Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
• If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

• Reviewer lens: Treat AAMAS as a agents and multiagent systems venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
• Contribution hook to foreground: the venue-specific contribution bar.
• Scope vocabulary to use naturally in the abstract and introduction: autonomous agents, multiagent learning, game-theoretic interaction, auctions, negotiation, and coordination.
• Distinctive fingerprint for reviewer calibration: autonomous, agents, multiagent, learning, game-theoretic, interaction, auctions, negotiation, coordination, venue-specific, contribution, aamas-conference.
• Official anchor domain: www.aamas-conference.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

• Use this profile only when the manuscript's central contribution is genuinely in agents and multiagent systems and the author can say why AAMAS reviewers are the primary audience, not merely a convenient deadline.
• Closest roster neighbors to compare before final routing: international-conference-on- automated-planning-and-scheduling (ICAPS), international-conference-on-principles-of- knowledge-representation-and-reasoning (KR), international-conference-on-principles-and- practice-of-constraint-programming (CP), integration-of-constraint-programming-artificial- intelligence-and-operations-research (CPAIOR). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from www.aamas-conference.org.

AAMAS-specific routing detail

• Prefer AAMAS when the main object is agent interaction: coordination, incentives, negotiation, auctions, mechanism design, multiagent learning, planning, or decentralized decision-making.
• Route ML infrastructure, compilers, serving, or hardware-aware training systems to MLSys unless agents are the research object rather than the workload.
• The evidence should expose strategic behavior, equilibrium or coordination structure, decentralized policies, or multiagent evaluation protocols.

Method & evidence bar

• Build the artifact or prototype far enough that the core design can be measured under realistic workloads.
• Use appropriate baselines, sensitivity analyses, and workload characterization; systems reviewers look for hidden bottlenecks.
• Separate engineering effort from research contribution: name the abstraction, mechanism, or tradeoff.
• For AAMAS, the evidence must support the venue-specific signature: a paper where agent interaction, incentives, or decentralized decision-making is the main object.
• Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

• Start from a systems pain point and show why existing abstractions fail.
• Use evaluation sections that answer research questions, not a tour of every benchmark run.
• Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
• The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
• Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

• Open the live official venue page: https://www.aamas-conference.org/
• Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
• Confirm the review workflow and portal: the current USENIX/ACM/IEEE author kit, artifact policy, and submission system.
• Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
• If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

• One sentence states why this manuscript belongs at AAMAS, using the venue's scope rather than generic "top conference" language.
• The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
• Related work includes the nearest current-cycle agents and multiagent systems papers and explains the technical delta.
• The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
• The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

• Toy implementation or microbenchmark-only evidence for a systems claim.
• No comparison to mature systems or no explanation of deployment constraints.
• Performance gains with unclear workload representativeness.
• Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
• A contribution framed for a neighboring field while giving AAMAS reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses AAMAS's bar, compare against acm-symposium-on-operating-systems-principles / usenix-symposium-on-operating-systems-design-and-implementation / usenix-symposium-on-networked-systems-design-and-implementation / acm-sigcomm. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] International Conference on Autonomous Agents and Multiagent Systems (AAMAS)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>