2006 | OriginalPaper | Buchkapitel
A Knowledge-Based Modeling System for Time-Critical Dynamic Decision-Making
verfasst von : Yanping Xiang, Kim-Leng Poh
Erschienen in: PRICAI 2006: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.