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.