Operations Research
Do the right thing: studies in limited rationality
Do the right thing: studies in limited rationality
Computation and action under bounded resources
Computation and action under bounded resources
An integrated approach to dynamic decision-making under uncertainty
An integrated approach to dynamic decision-making under uncertainty
Evidential Reasoning for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling challenges with influence diagrams: Constructing probability and utility models
Decision Support Systems
An influence diagram approach for multiagent time-critical dynamic decision modeling
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
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Recent interests in dynamic decision modeling 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 an approach to time-critical dynamic decision modeling. A knowledge representation and modeling method called the time-critical dynamic influence diagram is proposed. The formalism has two forms. The condensed form is used for modeling and model abstraction, while the deployed form which can be converted from the condensed form is used for inference purposes. The proposed approach has the ability to represent space-temporal abstraction within the model. A knowledge-based meta-reasoning approach is proposed for the purpose of selecting the best abstracted model that provide the optimal trade-off between model quality and model tractability. An outline of the knowledge-based model construction algorithm is also provided.