Abstract
During the design of storm drainage system, many decisions are involved on the basis of rules of thumb, heuristics, judgment, code of practice and previous experience of the designer. It is a suitable application field for application of the recent artificial intelligence technology. This paper presents the knowledge representation of the design of storm drainage system in a prototype knowledge-based system. Blackboard architecture with hybrid knowledge representation techniques including production rule system and object-oriented approach is adopted. Through custom-built interactive and user-friendly user interfaces, it furnishes designers with entailed expertise in this domain problem.
Original language | English |
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Pages (from-to) | 886-894 |
Number of pages | 9 |
Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
Volume | 3029 |
Publication status | Published - 9 Dec 2004 |
Event | 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada Duration: 17 May 2004 → 20 May 2004 |
ASJC Scopus subject areas
- Hardware and Architecture
- General Computer Science
- Theoretical Computer Science