Logic-based similarity
This work addresses a foundational problem in logic and AI for researchers interested in formal similarity measures, but it appears incremental as it builds on existing logical concepts without claiming broad applications or breakthroughs.
The paper tackles the problem of defining a qualitative, logic-based similarity measure by developing a new notion grounded in first-order logic and model theory, specifically using the concept of type, but no concrete results or numbers are provided.
This paper develops a {\em qualitative} and logic-based notion of similarity from the ground up using only elementary concepts of first-order logic centered around the fundamental model-theoretic notion of type.