Computational Models of Analogy-Making. An Overview Analysis of Computational Approaches to Analogical Reasoning
Tarek Besold

Abstract:
We provide an overview of research on computational models of analogy-making.
The survey ranges from a fairly basic introduction to the topic of
computational analogy-making to reporting some quite recent advanced results
concerning the study of these systems, their properties and particularities.
When doing so, we mainly take a cognitive modeling and computer sciences
inspired point of view, mostly discarding other possible criteria such as
psychological or biological adequacy. We introduce different abstract types
of computational models of analogy-making in terms of symbol-based models,
connectionist models and hybrid models, before having a more detailed look
at one or two characteristic examples for implemented systems of each
category. Concludingly, after summarizing the characteristics of the studied
systems in a crisp synopsis, we present some basic aspects of
Heuristic-Driven Theory Projection, a mathematically sound framework for
analogy-making currently under construction.