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New survey paper maps evolution of belief change in AI

By PulseAugur Editorial · [1 sources] ·

This paper provides a historical overview and implementation roadmap for computational belief change. It traces the evolution of belief revision from early computational approaches, influenced by Doyle and London, to the theoretical advancements of the AGM framework. The research analyzes how these early concepts relate to modern AGM constructs and identifies the theoretical underpinnings and historical precedents relevant to current implementation challenges. The goal is to establish a foundation for developing robust computational blueprints for belief change research. AI

IMPACT Provides a historical and theoretical foundation for implementing belief change mechanisms in AI systems.

RANK_REASON The item is an academic paper published on arXiv detailing a survey and roadmap for belief change in AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New survey paper maps evolution of belief change in AI

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The item is an academic paper published on arXiv detailing a survey and roadmap for belief change in AI. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Yuri Almeida, Arthur Casals ·

    From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change

    arXiv:2608.14567v1 Announce Type: new 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 …

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