Recently, there has been an increasing interest in improving the reliability and quality of AI systems. As a result, a number of approaches to knowledge-based systems modeling have been proposed. However, these approaches are limited in formally verifying the intended functionality and behavior of a
Task structure: a vocabulary for integrating numerical methods and knowledge-based systems
β Scribed by Ananthapadmanaban Sundaram; James K. McDowell; Martin C. Hawley
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 730 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
β¦ Synopsis
Often Expert Systems (ES) or Knowledge-based
Systems (KBS) are described in terms of their implementation details. If the complex problem solving activities captured in such systems are viewed as a type of information processing task then an alternative vocabulary of description is possible which is more suitable for systems design. This vocabulary is called the 'Task Structure'.
Since engineering problem solving is not entirely symbolic and sophisticated numerical computations need to be performed to determine physical system parameters, a KBS in that problem solving environment needs to be integrated with computational procedures for successful application. This paper describes the organization of numeric computation using a Task Structure vocabulary and demonstrates its potential as a viable tool for integration of numerical methods with KBS.
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