A Review of the Development and Future Challenges of Case-Based Reasoning

Author:

Yan Aijun123ORCID,Cheng Zijun12

Affiliation:

1. School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China

2. Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China

3. Beijing Laboratory for Urban Mass Transit, Beijing 100124, China

Abstract

Case-based reasoning (CBR), which is based on the cognitive assumption that similar problems have similar solutions, is an important problem-solving and learning method in the field of artificial intelligence (AI). In this article, the development of CBR is reviewed, and the major challenges of CBR are summarized. The paper is organized into four parts. First, the basic framework and concepts of CBR are introduced. Then, the developed technology and innovative work that were designed to solve problems by CBR are summarized. Then, the application fields of CBR are summarized. Finally, according to the idea of deep learning and interpretable AI, the main challenges for the future development of CBR are proposed.

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation of China

Publisher

MDPI AG

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