Paper Info
Title
Semantics of Analogies from a Logical Perspective.
Abstract
A number of different approaches to model analogies and analogical reasoning in AI have been proposed, applying different knowledge representation and mapping strategies. Nevertheless, analogies still seem to be hard to grasp from a formal perspective, with no known treatment in the literature of, in particular, their formal semantics, though the empirical treatments involving human subjects are abundant. In this paper we present a framework that allows to analyze the syntax and the semantics of analogies in a universal logic-based setting without committing ourselves to a specific type of logic. We show that the syntactic process of analogy-making by finding a generalization can be given a sensible interpretation on the semantic level based on the theory of institutions. We then apply these ideas by considering a framework of analogy-making that is based on classical first-order logic.
Year
DOI
Venue
2019
10.1007/s13218-019-00598-x
KI - Künstliche Intelligenz
Field
DocType
Volume
Analogical reasoning,Knowledge representation and reasoning,Programming language,GRASP,Computer science,Universal logic,Artificial intelligence,Syntax,Machine learning,Semantics,Semantics of logic
Journal
33
Issue
ISSN
Citations 
3
0933-1875
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Ahmed Abdel-Fattah183.34
Ulf Krumnack28713.03