Developing maintainable expert systems using case-based reasoning
| Autor: | Savita Raj, Juan E. Vargas |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Knowledge management
business.industry Computer science Rule-based system Legal expert system computer.software_genre Model-based reasoning Expert system Theoretical Computer Science Subject-matter expert Computational Theory and Mathematics Knowledge base Artificial Intelligence Control and Systems Engineering Case-based reasoning Software system business Software engineering computer |
| Zdroj: | Expert Systems. 10:219-225 |
| ISSN: | 1468-0394 0266-4720 |
| Popis: | Maintainability problems associated with traditional software systems are exacerbated in rule-based systems. The very nature of that approach — separation of control knowledge and data-driven execution — hampers maintenance. While there are widely accepted techniques for maintaining conventional software, the same is not true for rule-based systems. In most situations, both a knowledge engineer and a domain expert are necessary to update the rules of a rule-based system. This paper presents, first, an overview of the software engineering techniques and object-oriented methods used in maintaining rule-based systems. It then discusses alternate paradigms for expert system development. The benefits of using case-based reasoning (from the maintenance point of view) are illustrated through the implementation of a case-based scheduler. The main value of the scheduler is that its knowledge base can be modified by the expert without the assistance of a knowledge engineer. Since changes in application requirements can be given directly to the system by the expert, the effort of maintaining the knowledge base is greatly reduced. |
| Databáze: | OpenAIRE |
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