Objects used to implement intelligent databases
This paper presents a database construction useful for a rapid- prototyping environment. Intelligent systems require a priori knowledge and accumulated data to perform heuristics. Often the types of information required to make decisions are scattered and not well formed. The accumulation of heterogeneous information into structured formats requires deliberation and these activities are contrary to rapid-prototyping principles. When systems require unstructured information the logical implementation may be objects which create structure upon data that may appear to be random or chaotic. This scheme associates classes of information based upon similarity rather than requiring the data to be cast in a rigid form. A mechanism has been developed to accumulate heterogeneous information into entities that have function and which can be reasoned upon for heuristics problem solving. Using a functional representation of information allows the developer to capture raw data in its native form and assimilate the information into dynamic code units. The dynamic code units have autonomy while maintaining an open interface to the remainder of the system. This allows for easy maintenance, implementation, and reusability which assure the tenets of rapid- prototype development and aggregating the dynamic units a database in a content readily accessible to the inference control.
- Research Organization:
- Westinghouse Savannah River Co., Aiken, SC (United States)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC09-89SR18035
- OSTI ID:
- 5358750
- Report Number(s):
- WSRC-MS-91-439; CONF-9110341-3; ON: DE92013098
- Resource Relation:
- Conference: Artificial intelligence (AI) in the Department of Energy (DOE) complex meeting, Oak Ridge, TN (United States), 29-31 Oct 1991
- Country of Publication:
- United States
- Language:
- English
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