ABSTRACT

Case-based reasoning (Case-based Reasoning) is a relatively new field of artificial intelligence in the rise of an important knowledge-based problem solving methods. It is a simulation methodology of human reasoning and thinking process, but also the construction of intelligent computing systems methodology, the core idea is the direct use of past successful experience during problem solving. The basic process is: when you enter a new case, the system according to a given search strategy retrieved in the case library, find a case with the most similar to the input examples, with similar examples of solutions or adapt their solutions after modifications and applied to new instances. Thus, the description of the new cases and solutions and saved as a new case in the case library. With increasing instances of library systems have the ability to solve problems increases, the system’s ability to learn. Thus, retrieval, modification, storage, and constitute the entire learning process of CBR.