Abstract: A case-based reasoning system is disclosed that includes a case database and a search engine. The case database is capable of storing a plurality of cases that each include one or more attributes that each have an associated match weight. Match weights of attributes in different cases are separately specified. In response to receipt of an incident including one or more input terms, the search engine scores the relative closeness of a selected case to the incident utilizing the match weights of attributes in the selected case that match input terms in the incident.

Abstract: A case-based reasoning system is disclosed that includes a case database and a search engine. The case database is capable of storing a plurality of cases that each include one or more attributes that each have an associated match weight. Match weights of attributes in different cases are separately specified. In response to receipt of an incident including one or more input terms, the search engine scores the relative closeness of a selected case to the incident utilizing the match weights of attributes in the selected case that match input terms in the incident.

Abstract: To perform the modularization and use in a component format of a program and to efficiently create the program. Divide Operations into two, Primitive and Composite Operations, and further classify Composite Operations into Loop, Sequence, and Selection. Then, prepare methods for defining actions common to Operations, methods for defining actions common to Composite Operations, methods for defining actions peculiar to Loop Composite Operations, methods for defining actions peculiar to Sequence Composite Operations, methods for defining actions peculiar to Selection Composite Operations, and methods for defining actions peculiar to Primitive Operations so as to easily and readily create a program with methods for defining actions peculiar individual Operations, a means for inputting data, and a means for making up individual Operations into a tree structure.