Abstract
The paper explores the implementation of rule-based pattern-directed inference systems on parallel computers. The paper discusses one of these approaches in detail, the use of a graph-reduction machine such as ALICE. The technique is illustrated through two example domains: automobile fault diagnosis and organic psychiatric mental disorders. The paper discusses extensions to the graph reduction technique as applied to knowledge-based systems, including partitioning, time considerations and input data types. The paper shows that the graph-reduction technique has significant advantages for knowledge-based system implementation over conventional approaches, and it demonstrates that this programming style is amenable to knowledge engineering domains.
Original language | English (US) |
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Pages (from-to) | 155-163 |
Number of pages | 9 |
Journal | Knowledge-Based Systems |
Volume | 8 |
Issue number | 4 |
DOIs | |
State | Published - Aug 1995 |
Keywords
- ALICE system
- graph reduction
- parallel processing
- production systems
ASJC Scopus subject areas
- Management Information Systems
- Software
- Information Systems and Management
- Artificial Intelligence