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Book Categories |
| Preface | ||
| Acknowledgements | ||
| Ch. 1 | The Nature of Uncertainty | |
| Ch. 2 | Bayesian Probability | |
| Ch. 3 | The Certainty Factor Model | |
| Ch. 4 | Epistemic Probability: the Dempster-Shafer theory of evidence | |
| Ch. 5 | Reasoning with Imprecise and Vague Data | |
| Ch. 6 | Non-monotonic Logic | |
| Ch. 7 | Argumentation | |
| Ch. 8 | Overview | |
| References | ||
| Subject Index | ||
| Author Index |
| Price | Condition | Delivery | Seller | Action |
| $166.51 | Digital |
| WonderClub |
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Add Representing Uncertain Knowledge: An Artificial Intelligence Approach, This book identifies the central role of managing uncertainty in AI and expert systems and provides a comprehensive introduction to different aspects of uncertainty and the rationales, descriptions (through worked examples), advantages and limitations of , Representing Uncertain Knowledge: An Artificial Intelligence Approach to the inventory that you are selling on WonderClubX
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Add Representing Uncertain Knowledge: An Artificial Intelligence Approach, This book identifies the central role of managing uncertainty in AI and expert systems and provides a comprehensive introduction to different aspects of uncertainty and the rationales, descriptions (through worked examples), advantages and limitations of , Representing Uncertain Knowledge: An Artificial Intelligence Approach to your collection on WonderClub |