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We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty.
Jan 1, 1996 · Readers looking for a thorough introduction to methods for representing uncertainty in AI will find this book useful.
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Jul 1, 1993 · This book identifies the central role of managing uncertainty in AI and expert systems and provides a comprehensive introduction to ...
Nov 8, 2023 · Representing uncertain knowledge : an artificial intelligence approach. by: Krause, Paul. Publication date: 1993. Topics: Uncertainty ( ...
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This book argues that Bayesian Probability, a model based on the Dempster-Shafer Theory of Evidence, can be used as a guide to reasoning ...
Jun 13, 2024 · This article explores the various methods and techniques used in AI to represent knowledge in uncertain domains.
Aug 25, 2020 · If probability theory is considered as a tool for knowledge representation, one must explain what probability means, what is it supposed to ...
Key aspects to consider when dealing with uncertainty in AI · Probabilistic Models: AI systems can incorporate probabilistic models to represent uncertainty.
Nov 6, 2024 · AI deals with uncertainty by using models and methods that assign probabilities to different outcomes. Managing uncertainty is important for AI ...
Representing uncertain knowledge : an artificial intelligence approach ; By: Krause, Paul ; Language: English ; Publication details: ; Oxford : Intellect, 1993 ; ...