Knowledge-based formulation of dynamic decision models

Publication Type

Conference Proceeding Article

Publication Date

11-1998

Abstract

We present a new methodology to automate decision making over time and uncertainty. We adopt a knowledge-based model construction approach to support automated and interactive formulation of dynamic decision models, i.e., models that explicitly consider the effects of time. Our work integrates and extends different features of the existing frameworks. We incorporate a hybrid knowledge representation scheme that integrates categorical knowledge, probabilistic knowledge, and deterministic knowledge. We provide a set of knowledge-based modification operations for automatic and interactive generation, abstraction, and refinement of the model components. We have built a knowledge base in a real-world domain and shown that it can support automated construction of a reasonable dynamic decision model. The results indicate the practical promise of the proposed design.

Discipline

Artificial Intelligence and Robotics

Publication

PRICAI'98: Topics in Artificial Intelligence

Volume

1531

First Page

506

Last Page

517

ISBN

9783540652717

Identifier

10.1007/BFb0095296

Publisher

SPRINGER-VERLAG BERLIN

City or Country

BERLIN

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