The control of reasoning under uncertainty: A discussion of some programs
- 1 March 1987
- journal article
- research article
- Published by Cambridge University Press (CUP) in The Knowledge Engineering Review
- Vol. 2 (1) , 5-25
- https://doi.org/10.1017/s0269888900000680
Abstract
This paper proposes that managing uncertainty is acontrolproblem, a task for the control component of AI systems that decides what to do next. This view emphasizes the process of planning and executing sequences of actions that simultaneously satisfy domain goals and minimize uncertainty. The paper reviews AI systems that manage uncertainty by control. It is not an exhaustive survey, but rather illustrates issues in managing uncertainty with selected AI programs.Keywords
This publication has 13 references indexed in Scilit:
- Design for acquisition: principles of knowledge-system design to facilitate knowledge acquisitionInternational Journal of Man-Machine Studies, 1987
- Management of uncertainty in medicineInternational Journal of Approximate Reasoning, 1987
- Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System DesignIEEE Expert, 1986
- Heuristic classificationArtificial Intelligence, 1985
- A blackboard architecture for controlArtificial Intelligence, 1985
- Inferno: A Cautious Approach To Uncertain InferenceThe Computer Journal, 1983
- GODDESS: A Goal-Directed Decision Structuring SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1982
- The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve UncertaintyACM Computing Surveys, 1980
- Categorical and probabilistic reasoning in medical diagnosisArtificial Intelligence, 1978
- Learning and executing generalized robot plansArtificial Intelligence, 1972