AAAI Related Work

Use this to make the novelty claim robust under AAAI's broad AI review. The related-work section must help reviewers distinguish the paper from both archival work and contemporaneous non-archival work.

Positioning checks

• Identify the closest archival AI papers and current arXiv/workshop work.
• Separate method novelty, task novelty, evaluation novelty, and system integration novelty.
• Cite contemporaneous non-archival work carefully when it affects priority or reviewer expectations.
• Do not submit substantially similar work to multiple archival venues at the same time.
• Explain how the paper differs from AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors in assumptions, evidence, scope, and contribution.
• Avoid using AI systems as citable scientific sources under AAAI policy.

Novelty paragraph

Use this structure:

Closest prior work solves <problem> under <assumptions>.
It does not address <specific missing setting/mechanism/evidence>.
This paper contributes <new item> and verifies it through <evidence>.
The claim is limited to <scope>.

Positioning across AAAI's breadth

AAAI spans search, planning, knowledge representation, constraint satisfaction, multi-agent systems, learning, NLP, vision, and robotics, so the closest prior work may live in a subfield your reviewer does not. Make the contrast explicit for a non-specialist instead of assuming shared background.

Neighbor venue	Reviewer expectation	Differentiation to spell out
IJCAI	broad-AI overlap	what your result adds beyond their framing
NeurIPS/ICML	ML method or theory depth	why AAAI breadth, not just a benchmark gain
ICLR	representation-learning lens	non-learning mechanism or guarantee you contribute
AAAI prior years	incremental-track suspicion	the new assumption, evidence, or scope

Reviewer-pushback patterns