Analogy-Based and Case-Based Reasoning: Two sides of the same coin
Michael Gr. Voskoglou, Abdel-Badeeh M. Salem

TL;DR
This paper reviews analogy-based and case-based reasoning, highlighting their similarities, differences, applications in medicine, criticisms, and future research directions in the field.
Contribution
It provides a comprehensive comparison of ABR and CBR, including real-world examples and analysis of their advantages and challenges.
Findings
CBR is widely used in medical applications.
Differences between CBR and rule-induction algorithms are clarified.
Future research trends in CBR are discussed.
Abstract
Analogy-Based (or Analogical) and Case-Based Reasoning (ABR and CBR) are two similar problem solving processes based on the adaptation of the solution of past problems for use with a new analogous problem. In this paper we review these two processes and we give some real world examples with emphasis to the field of Medicine, where one can find some of the most common and useful CBR applications. We also underline the differences between CBR and the classical rule-induction algorithms, we discuss the criticism for CBR methods and we focus on the future trends of research in the area of CBR.
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Taxonomy
TopicsAI-based Problem Solving and Planning · Semantic Web and Ontologies · Advanced Text Analysis Techniques
