Knowledge-based time-critical dynamic decision modelling

Y P Xiang and K L Poh ()
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Y P Xiang: National University of Singapore
K L Poh: National University of Singapore

Journal of the Operational Research Society, 2002, vol. 53, issue 1, 79-87

Abstract: 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.

Keywords: decision analysis; decision support systems; artificial intelligence; problem structuring; model construction (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1057/palgrave.jors.2601241

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