A knowledge-based modeling system for time-critical dynamic decision-making

Authors:
Yanping Xiang;Kim-Leng Poh
Affiliations:
Department of Industrial and Systems Engineering, National University of Singapore, Singapore;Department of Industrial and Systems Engineering, National University of Singapore, Singapore
Venue:
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Year:
2006

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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.