语义贝叶斯世界模型
Original title: Semantic Bayesian World Models
ResearchAI 70
Source: arXiv cs.AIPublish time unverified
arXiv:2609.03834v1 Announce Type: new Abstract: Knowledge graphs describe reality in crisp assertions, while the systems now consuming them, foundation models and autonomous agents, reason natively in probabilities. We argue that this mismatch is why the integration of language models and knowledge graphs remains a data-feeding pipeline rather than a unified reasoning architecture.