Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72241
Title: A knowledge-based modeling system for time-critical dynamic decision-making
Authors: Xiang, Y. 
Poh, K.-L. 
Issue Date: 2006
Citation: Xiang, Y.,Poh, K.-L. (2006). A knowledge-based modeling system for time-critical dynamic decision-making. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4099 LNAI : 212-221. ScholarBank@NUS Repository.
Abstract: Knowledge-based model construction approach has been applied to many problems. Previous research doesn't provide an approach to construct models to deal with time-critical dynamic decision problems. This paper presents a Knowledge-based Time-critical Dynamic Decision Modeling system (KTDDM) for time-critical dynamic decision-making. The system architecture and functional modules are described. A new knowledge representation framework is provided to support the whole model construction process. This paper applies the KTDDM system prototype to construct a decision model for the time-critical dynamic medical problem on cardiac arrest to demonstrate the effectiveness of this approach. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/72241
ISBN: 3540366679
ISSN: 03029743
Appears in Collections:Staff Publications

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