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.
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Chau, K., Cheung, C.S. (2004). Knowledge Representation on Design of Storm Drainage System. In: Orchard, B., Yang, C., Ali, M. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2004. Lecture Notes in Computer Science(), vol 3029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24677-0_91
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DOI: https://doi.org/10.1007/978-3-540-24677-0_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22007-7
Online ISBN: 978-3-540-24677-0
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