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
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IMPACT This research provides a formal framework for understanding belief dynamics in multi-agent systems, potentially impacting AI agent design and reasoning capabilities.
RANK_REASON This is a research paper published on arXiv detailing a theoretical study on belief revision postulates in multi-agent systems.