Normalization and the Representation of Nonmonotonic Knowledge in the Theory of Evidence
Ronald R. Yager

TL;DR
This paper explores the Dempster-Shafer theory of evidence, introducing a concept of monotonicity and demonstrating how belief structures can represent commonsense knowledge despite the nonmonotonic nature of knowledge accumulation.
Contribution
It introduces a new concept of monotonicity related to belief and plausibility, and shows how belief structures can effectively represent nonmonotonic, commonsense knowledge.
Findings
Knowledge accumulation in Dempster-Shafer theory is nonmonotonic.
Belief structures can represent typical or commonsense knowledge.
A new concept of monotonicity related to belief and plausibility is proposed.
Abstract
We discuss the Dempster-Shafer theory of evidence. We introduce a concept of monotonicity which is related to the diminution of the range between belief and plausibility. We show that the accumulation of knowledge in this framework exhibits a nonmonotonic property. We show how the belief structure can be used to represent typical or commonsense knowledge.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, Reasoning, and Knowledge · Machine Learning and Algorithms · Multi-Agent Systems and Negotiation
