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aamas-topic-selection
Use when deciding whether a project is a strong AAMAS fit, comparing AAMAS with AAAI, IJCAI, NeurIPS, ICML, EC, and the JAAMAS journal, identifying whether the agents are truly the research object, naming the interaction primitive (solution concept, mechanism, coordination, negotiation), and sharpening the multiagent framing before writing begins.
AAMAS-Skills/skills/aamas-topic-selection/SKILL.md
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# AAMAS Topic Selection
Use this before writing. AAMAS is strongest when the *agents* are the research object - when the
result exists because multiple self-interested or cooperating agents interact - not when a
single-agent method is dressed in multiagent vocabulary.
## Fit test
- Prefer AAMAS when the contribution advances game-theoretic reasoning, multiagent learning,
mechanism design, auctions, negotiation, argumentation, coordination and teamwork, agent-based
simulation, or social choice, with the interaction as the object.
- Route to NeurIPS or ICML if the core is a single-agent or general ML method and the
multiagent setting is only a testbed.
- Route to AAAI or IJCAI if the contribution is broad AI - planning, knowledge representation,