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Research questionHow can knowledge graphs let agents represent, update, and exchange structured uncertainty?Knowledge graphs typically encode crisp assertions, while agents reason with uncertain beliefs. This mismatch makes it difficult to condition structured knowledge on observations, infer unstated quantities, and communicate calibrated disagreement.
AI
AI Agents
Machine Learning
Multi-agent Systems
Natural Language Processing
Reasoning
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Latest papersRecent research connected to this question, newest first.Semantic Bayesian World ModelsApplies to knowledge-graph-based probabilistic agents, including security assessment, actuarial inference, planning, and estimation tasks. The source discusses belief annotation over RDF 1.2, probabilistic entailment, semantic calibration, and protocols for exchanging beliefs, but supplies no implementation or deployment evidence.research paper · Sep 3, 2026
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