arXiv (All)
open access
Inertial Updating with General Information
We study belief revision when a data-generating process (DGP) is unknown, and information is represented by a set of probability distributions, or general information. General information extends the standard event notion while including qualitative information (A is more likely than B), interval in
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Dynamic Hyperintensional Belief Revision#778806
- Non-probabilistic Causation without Necessitation#705712
- Knowledge Without a Global Knower: Truth, Warrant, Anti-Luck Provenance, and Method-Relative Epistemic Standing for Embedded Observers#694366
- Coherent information deletion: Bayes' theorem and generalized Bayesian unlearning#684351
- Coherent information deletion: Bayes' theorem and generalized Bayesian unlearning#682576
Record · ID 1200743
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive