On Implementing Usual Values
Ronald R. Yager
TL;DR
This paper presents a system for reasoning with usual, commonsense knowledge that combines probabilistic and granular aspects using possibility-probability granules.
Contribution
It introduces a novel reasoning system that integrates probabilistic and granular information for handling usual knowledge.
Findings
Demonstrates the effectiveness of possibility-probability granules in reasoning
Provides a framework for combining probabilistic and granular data
Enhances reasoning about typical or usual scenarios
Abstract
In many cases commonsense knowledge consists of knowledge of what is usual. In this paper we develop a system for reasoning with usual information. This system is based upon the fact that these pieces of commonsense information involve both a probabilistic aspect and a granular aspect. We implement this system with the aid of possibility-probability granules.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Bayesian Modeling and Causal Inference · Semantic Web and Ontologies