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

研究人员推广了多智能体AI系统的信念修正公理

研究人员已将经典的AGM信念修正公理推广到认知规划中的多智能体设置。这项工作旨在创建一个正式框架来评估动态认知推理,特别是当一个智能体获得新信息后,其他智能体的信念如何变化。该研究引入了广义全交集多智能体信念修正作为示例算子,并探索了基于事件模型的更复杂的修正算子。 AI

影响 这项研究为理解多智能体系统中的信念动态提供了一个正式框架,可能影响AI智能体的设计和推理能力。

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了关于多智能体系统中信念修正公理的理论研究。

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研究人员推广了多智能体AI系统的信念修正公理

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…