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Researchers generalize belief revision postulates for multi-agent AI systems

Researchers have generalized the classical AGM belief revision postulates to a multi-agent setting within epistemic planning. This work aims to create a formal framework for evaluating dynamic epistemic reasoning, specifically how agents' beliefs change after one agent gains new information. The study introduces generalized full-meet multi-agent belief revision as an example operator and explores more sophisticated revision operators based on event models. AI

影响 This research provides a formal framework for understanding belief dynamics in multi-agent systems, potentially impacting AI agent design and reasoning capabilities.

排序理由 This is a research paper published on arXiv detailing a theoretical study on belief revision postulates in multi-agent systems.

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Researchers generalize belief revision postulates for multi-agent AI systems

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Michael Thielscher, Tran Cao Son ·

    A Study of Belief Revision Postulates in Multi-Agent Systems (Extended Version)

    arXiv:2605.02249v1 Announce Type: new Abstract: We investigate the belief revision problem in epistemic planning, i.e., what will be the beliefs of all agents in a multi-agent system after an agent gains the belief in some state property. Based on the standard representation in e…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    A Study of Belief Revision Postulates in Multi-Agent Systems (Extended Version)

    We investigate the belief revision problem in epistemic planning, i.e., what will be the beliefs of all agents in a multi-agent system after an agent gains the belief in some state property. Based on the standard representation in epistemic planning of agents' beliefs via a singl…