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Knowledge-based time-critical dynamic decision modelling

Author

Listed:
  • Y P Xiang

    (National University of Singapore)

  • K L Poh

    (National University of Singapore)

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.

Suggested Citation

  • Y P Xiang & K L Poh, 2002. "Knowledge-based time-critical dynamic decision modelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 79-87, January.
  • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:1:d:10.1057_palgrave.jors.2601241
    DOI: 10.1057/palgrave.jors.2601241
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