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C-K. Soh* and T.J. Lee+

*School of Civil and Structural Engineering, Nanyang Technological University
+National University of Singapore, Singapore

doi:10.4203/ccp.12.2.4

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C-K. Soh, T.J. Lee, "An Approach to Automate the Generation of Construction Schedules", in B.H.V. Topping, (Editor), "Artificial Intelligence and Civil Engineering", Civil-Comp Press, Edinburgh, UK, pp 57-64, 1991. doi:10.4203/ccp.12.2.4

Abstract

The development of a knowledge-based system to generate construction schedules as a pre-processor to a project scheduling software is discussed. The knowledge-embedded database system is presented as the approach towards a deeper integration of knowledge-based systems with the traditional data processing systems. The success of this integration is believed to be the key that would give momentum to the prototype to advance into the operational stage. Other approaches undertaken by similar work is compared. The knowledge domain and system architecture for this system is outlined. Further developments towards a deep coupling system is discussed in the conclusion.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 12 ARTIFICIAL INTELLIGENCE AND CIVIL ENGINEERING Edited by: B.H.V. Topping Paper II.4 An Approach to Automate the Generation of Construction Schedules C-K. Soh* and T.J. Lee+ School of Civil and Structural Engineering, Nanyang Technological University +National University of Singapore, Singapore doi:10.4203/ccp.12.2.4 purchase the full-text of this paper Full Bibliographic Reference for this paper C-K. Soh, T.J. Lee, "An Approach to Automate the Generation of Construction Schedules", in B.H.V. Topping, (Editor), "Artificial Intelligence and Civil Engineering", Civil-Comp Press, Edinburgh, UK, pp 57-64, 1991. doi:10.4203/ccp.12.2.4 Abstract The development of a knowledge-based system to generate construction schedules as a pre-processor to a project scheduling software is discussed. The knowledge-embedded database system* is presented as the approach towards a deeper integration of knowledge-based systems with the traditional data processing systems. The success of this integration is believed to be the key that would give momentum to the prototype to advance into the operational stage. Other approaches undertaken by similar work is compared. The knowledge domain and system architecture for this system is outlined. Further developments towards a deep coupling system is discussed in the conclusion. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £60 +P&P)
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