Hypergraph Semantics for Belief Logics
Research Paper#Artificial Intelligence, Logic, Belief Representation🔬 Research|Analyzed: Jan 3, 2026 19:14•
Published: Dec 28, 2025 21:49
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This paper introduces a novel semantics for doxastic logics (logics of belief) using directed hypergraphs. It addresses a limitation of existing simplicial models, which primarily focus on knowledge. The use of hypergraphs allows for modeling belief, including consistent and introspective belief, and provides a bridge between Kripke models and the new hypergraph models. This is significant because it offers a new mathematical framework for representing and reasoning about belief in distributed systems, potentially improving the modeling of agent behavior.
Key Takeaways
- •Proposes a new semantics for doxastic logic using directed hypergraphs.
- •Addresses the limitations of simplicial models in representing belief.
- •Provides systems for consistent and introspective belief.
- •Establishes completeness through canonical hypergraph models.
- •Offers direct conversions between Kripke and hypergraph models.
Reference / Citation
View Original"Directed hypergraph models preserve the characteristic features of simplicial models for epistemic logic, while also being able to account for the beliefs of agents."