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--> [Submitted on 29 May 2026] Title:From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change View a PDF of the paper titled From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change, by Yuri Almeida and Arthur Casals View PDF HTML (experimental) Abstract:This paper presents a targeted narrative review establishing the historical and theoretical foundations for computational belief change implementation. Seeded by Doyle and London's foundational 1980 taxonomy, we trace the evolution of belief revision from computational origins through the theoretical transformation of the AGM framework to contemporary approaches. Our analysis demonstrates how pre-AGM computational pragmatism relates to AGM theoretical constructs, revealing both continuities and transformations across this evolution. We analyze how each taxonomical category evolved in the post-AGM era, identifying the theoretical foundations and historical precedents that inform contemporary implementation challenges. This foundation enables subsequent research into robust computational blueprints that synthesize historical insights with formal guarantees, providing the baseline for systematic implementation analysis and engineering-focused belief change research. Comments: Author's accepted manuscript of an article published in The European Journal on Artificial Intelligence 2026 (SAGE). 65 pages, 2 figures. Final published version available at this https URL Subjects: Artificial Intelligence (cs.AI); Logic in Computer Science (cs.LO) ACM classes: I.2.4; I.2.3 Cite as: arXiv:2608.14567 [cs.AI] (or arXiv:2608.14567v1 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2608.14567 arXiv-issued DOI via DataCite Related DOI: https://doi.org/10.1177/30504554261426170 DOI(s) linking to related resources Submission history From: Arthur Casals [view email] [v1] Fri, 29 May 2026 19:35:47 UTC (1,700 KB) Full-text links: Access Paper: View a PDF of the paper titled From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change, by Yuri Almeida and Arthur Casals View PDF HTML (experimental) TeX Source view license Current browse context: cs.AI new | recent | 2026-08 Change to browse by: cs cs.LO References & Citations NASA ADS Google Scholar Semantic Scholar Loading... Data provided by: Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)