Article ID: | iaor20022618 |
Country: | United Kingdom |
Volume: | 53 |
Issue: | 1 |
Start Page Number: | 79 |
End Page Number: | 87 |
Publication Date: | Jan 2002 |
Journal: | Journal of the Operational Research Society |
Authors: | Poh K.L., Xiang Y.P. |
Keywords: | knowledge management |
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.