Skill UI

A comprehensive guide detailing the Annals of the American Association of Geographers (AAAG) review process. It covers double-anonymous peer review, subject editor criteria, common pitfalls (such as lack of theory or poor cartography), and how to interpret decision letters to maximize acceptance chances. Use this before submission to stress-test your manuscript and improve scholarly rigor.

Guides researchers on transforming descriptive findings into robust, conceptual, and portable geographic arguments. This skill focuses on developing a core theoretical contribution grounded in geographic concepts like scale, place, space-time, and environmental-society relations, essential for high-level academic manuscripts.

This tool serves as an orchestrator for manuscripts submitted to the Annals of the AAG. It guides authors through the complex submission process by helping define the appropriate academic area (e.g., Human Geography, Physical Geography), the article format (Article, Commentary), and the sequential developmental stages—from topic selection and theory building to data analysis and final submission. It ensures the work is framed legitimately as *geography*.

A comprehensive guide for structuring and writing high-quality AI research manuscripts intended for major academic conferences (e.g., AAAI). It teaches how to structure the first page for maximum impact, clearly state contributions (method, theory, system, etc.), ensure two-column readability, and address ethical limitations to appeal to a broad, non-specialist committee audience.

This guide provides comprehensive instructions for packaging multiagent system (MARL) and game theory evidence for academic submissions, particularly for conferences like AAMAS. It emphasizes that the artifact must be inspectable, containing not just a trained model, but the game definition, environment code, opponent sets, and interaction protocols, ensuring rigorous reproducibility and reviewability.

A comprehensive guide for authors preparing rebuttals following AAMAS preliminary reviews. It details the specific constraints (e.g., double-blind, no new results), the strategies for addressing diverse technical reviewers (such as game theorists, MARL experts, and systems engineers), and the structured pattern required to maximize the impact of a short response window.

Provides comprehensive guidelines for designing, auditing, and reporting high-rigor multi-agent experiments, especially in game theory and self-play systems. It emphasizes testing the *interaction* claim—such as convergence to equilibrium, truthful behavior, or emergent cooperation—against held-out opponents, populations, and strategic deviations, moving beyond simple single-agent leaderboard scores.

This guide helps authors audit the novelty and eligibility of multiagent system research for submission to AAMAS. It provides comprehensive advice on positioning the work against literature spanning multiple top-tier venues (e.g., NeurIPS, ICML, AAAI, EC, JAAMAS), integrating concepts from multiagent RL, game theory, and social choice. It ensures submissions are positioned accurately compared to the broader academic community, maximizing impact and minimizing rejection risk.

This guide outlines best practices for ensuring rigorous reproducibility of complex interaction claims, especially in game theory and multi-agent systems (MAS). It details required evidence for proofs, experimental setups (agents, opponents, seeds, compute), and consistency checks between the paper's claims and the provided artifacts. Essential for high-stakes academic submissions like AAMAS.

A comprehensive project management guide for submitting academic papers to the AAMAS conference. It details all critical milestones, including venue fit, evidence locking, abstract submission, double-blind review, rebuttal, and final camera-ready preparation. Essential for managing complex research involving game theory and multi-agent systems.

A comprehensive guide for designing and presenting rigorous experiments and simulations for top-tier journals in Control Theory, Robotics, and Smart Systems. Covers RQ-driven design, establishing fair baselines, providing theoretical proofs of stability/convergence, performing ablation studies, and ensuring statistical significance, helping authors build an undeniable evidence chain for double-blind external review.

A comprehensive audit checklist designed to guide authors through the rigorous preparation process for submitting academic manuscripts to Acta Automatica Sinica (AAS). It covers critical steps such as adopting double-blind anonymity, mandatory author commitment forms, ensuring originality, and meeting the high formatting standards required for top-tier publications in control and automation theory.