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http://hdl.handle.net/10397/1294
Title: | Knowledge representation on design of storm drainage system | Authors: | Chau, KW Cheung, CS |
Issue Date: | 2004 | Source: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2004, v. 3029, p. 886-894 | 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. | Keywords: | Knowledge based systems Knowledge representation Algorithms Artificial intelligence Heuristic methods Object oriented programming User interfaces Drainage Storms |
Publisher: | Springer | Journal: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) | ISSN: | 0302-9743 | EISSN: | 1611-3349 | DOI: | 10.1007/978-3-540-24677-0_91 | Description: | Innovations in applied artificial intelligence : 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004, Ottawa, Canada, May 17-20, 2004 | Rights: | © Springer-Verlag Berlin Heidelberg 2004. The original publication is available at http://www.springerlink.com. |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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LNAI7.pdf | Pre-published version | 102.78 kB | Adobe PDF | View/Open |
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