Analogy-Based and Case-Based Reasoning: Two sides of the same coin
This is an incremental review paper for researchers in AI and reasoning systems, clarifying similarities and differences between ABR and CBR.
The paper reviews and compares Analogy-Based Reasoning (ABR) and Case-Based Reasoning (CBR) as problem-solving processes that adapt past solutions to new analogous problems, with examples from Medicine and discussions on differences from rule-induction algorithms, criticisms, and future trends.
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.