Researchers Generalize Classical Belief Revision Framework to Multi-Agent Systems
A new study published on arXiv generalizes the foundational AGM belief revision postulates to multi-agent settings within epistemic planning. The AGM postulates, originally developed for single-agent rational belief change, are a cornerstone of formal AI reasoning but had not been systematically extended to scenarios involving multiple interacting agents. The work provides a formal framework for evaluating how beliefs propagate across all agents in a system when one agent learns new information, which is increasingly relevant as AI systems operate collaboratively.
Researchers Michael Thielscher and colleagues have submitted an extended study to arXiv investigating belief revision in multi-agent epistemic planning — the problem of determining what all agents in a system will believe after one agent acquires a new belief about the world. The paper builds on the classical AGM framework, a well-established set of rationality postulates for belief change, and generalizes it to multi-agent Kripke models, the standard representational tool in epistemic planning. As a concrete example of an operator satisfying all generalized postulates, the authors introduce generalized full-meet multi-agent belief revision. The paper further extends standard postulates for iterated revision — where beliefs are updated multiple times in sequence — and proposes a more sophisticated event model-based revision operator. The authors also candidly discuss the difficulties and potential pitfalls in constructing epistemic operators on Kripke models that can satisfy all generalized postulates for iterated multi-agent belief revision, signaling open challenges in the field.
What's missing
The paper is a preprint and has not yet undergone formal peer review. The study does not report empirical benchmarks or experimental evaluations comparing the proposed operators against existing approaches in practical epistemic planning systems, leaving computational tractability and scalability as open questions.
What different sources said
- arXiv cs.AICenter
A Study of Belief Revision Postulates in Multi-Agent Systems (Extended Version)
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