Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/63165
Title: Knowledge-based time-critical dynamic decision modelling
Authors: Xiang, Y.P. 
Poh, K.L. 
Keywords: Artificial intelligence
Decision analysis
Decision support systems
Model construction
Problem structuring
Issue Date: Jan-2002
Source: Xiang, Y.P.,Poh, K.L. (2002-01). Knowledge-based time-critical dynamic decision modelling. Journal of the Operational Research Society 53 (1) : 79-87. ScholarBank@NUS Repository.
Abstract: Recent interests in dynamic decision modelling have led to the development of several representation and inference methods. These methods however, have limited application under time-critical conditions where a trade-off between model quality and computational tractability is essential. This paper presents a knowledge-based approach to time-critical dynamic decision modelling. A knowledge representation and modelling method, called the time-critical dynamic influence diagram, is proposed. The proposed approach has the ability to represent space-temporal abstraction in dynamic decision models. Several algorithms from different classes for solving time-critical dynamic influence diagrams are described. A knowledge-based meta-reasoning approach is proposed for the purpose of selecting the best abstracted model and algorithm that provide the optimal trade-off between model quality and model tractability. The approach is applied to solve a time-critical medical decision problem. An outline of the knowledge-based model construction procedure is also provided.
Source Title: Journal of the Operational Research Society
URI: http://scholarbank.nus.edu.sg/handle/10635/63165
ISSN: 01605682
Appears in Collections:Staff Publications

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