A Minimal Framework for Knowledge Representation Sufficient to Support Analogical Reasoning and Other Forms of Inductive Inference

Analogy In Knowledge AJ3cffifsltfflfi'f. of An Analogical Tool

INDUCING KNOWLEDGE

THE QUANTIFICATION OF KNOWLEDGE-FORMAL FOUNDATIONS FOR ACQUISITION METHODOLOGIES

A General Form of Cautious Approximate Reasoning for Symbolic and Complex Data

Abstract Decision-makers are increasingly confronted with the problem of data imprecision. Thereby,the representation and manipulation of such knowledge play a crucial role in the performance of intelligent systems. Among the well-known logics for imprecise data, we can find symbolic multi-valued logic. This logic exte...

Cognitive Schemas, Laws and Tasks

This paper asks how explicit representations can support reusable cognitive schemas in knowledge-based problem solving. We develop a structural framework in which schemas are organized by the information and relations required for their use, rather than introduced as unrelated primitives. The framework also distinguish...

Postulates Here, Postulates Everywhere: A Discussion of Contraction Postulates