{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-emph-optimist-towards-fully-automated","title":"The \\emph{Optimist}: Towards Fully Automated Graph Theory Research","arxiv_id":"2411.09158","date":"2024-11-14","proceeding":null,"authors":["Randy Davila"],"abstract":"This paper introduces the \\emph{Optimist}, an autonomous system developed to advance automated conjecture generation in graph theory. Leveraging mixed-integer programming (MIP) and heuristic methods, the \\emph{Optimist} generates conjectures that both rediscover established theorems and propose novel inequalities. Through a combination of memory-based computation and agent-like adaptability, the \\emph{Optimist} iteratively refines its conjectures by integrating new data, enabling a feedback process with minimal human (\\emph{or machine}) intervention. Initial experiments reveal the \\emph{Optimist}'s potential to uncover foundational results in graph theory, as well as to produce conjectures of interest for future exploration. This work also outlines the \\emph{Optimist}'s evolving integration with a counterpart agent, the \\emph{Pessimist} (a human \\emph{or machine} agent), to establish a dueling system that will drive fully automated graph theory research.","url_abs":"https://arxiv.org/abs/2411.09158v1","url_pdf":"https://arxiv.org/pdf/2411.09158v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"the-emph-optimist-towards-fully-automated","repo_url":"https://github.com/randyrdavila/the-optimist","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2411.09158","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}