Preface | p. V |
Notations | p. VII |
"Classical" Expert Systems | p. 1 |
Production Rules | p. 1 |
Expert Systems | p. 3 |
Structure of Rule-Based Expert Systems | p. 4 |
Reasoning in an Expert System | p. 5 |
Conflicts Resolution | p. 9 |
Solved Exercises | p. 10 |
Knowledge Representation | p. 13 |
Data, Information and Knowledge | p. 13 |
Logical Systems | p. 14 |
Predicate Calculus | p. 19 |
Inference Rules in Classical Logic | p. 22 |
Semantic Nets | p. 23 |
Frames | p. 24 |
Solved Exercises | p. 27 |
Uncertainty and Classical Theory of Probability | p. 31 |
Taxonomy of Imperfection | p. 31 |
Usual and Precise Meaning | p. 33 |
Experiments and Events | p. 35 |
Formal Definition of Events | p. 39 |
Defining Probabilities | p. 41 |
Defining Probabilities (II) | p. 44 |
Bayes' Theorem | p. 47 |
Misleading Aspects | p. 49 |
Random Variables and Distributions | p. 50 |
Expectation and Variance | p. 51 |
Examples of Discrete Distributions | p. 56 |
Continuous Distributions | p. 60 |
Examples of Continuous Distributions. Normal | p. 64 |
Examples of Continuous Distributions. Chi-square | p. 67 |
Student and Fisher-Snedecor Distributions | p. 70 |
Formal definition of Random Variables | p. 73 |
Probabilities of Formulas | p. 76 |
Solved Exercises | p. 82 |
Statistical Inference | p. 89 |
Inferring Scientific Truth: Tests of Significance | p. 89 |
Relation "Alternative Hypothesis - Null Hypothesis" | p. 91 |
Hypothesis Testing, the Classical Approach | p. 93 |
Examples: Comparing Means | p. 94 |
Comparing Means, the Practical Approach | p. 104 |
Paired and Unpaired Tests | p. 105 |
Example: Comparing Proportions | p. 107 |
Goodness-of-Fit: Chi-square | p. 112 |
Other Goodness-of-Fit Tests | p. 119 |
Nonparametric Tests. Wilcoxon/Mann-Whitney | p. 120 |
Analysis of Variance | p. 124 |
Summary | p. 126 |
Solved Exercises | p. 127 |
Bayesian (Belief) Networks | p. 133 |
Uncertain Production Rules | p. 133 |
Bayesian (Belief, Causal) Networks | p. 135 |
Examples of Bayesian Networks | p. 138 |
Software | p. 144 |
Bias of the Bayesian (Probabilistic) Method | p. 148 |
Solved Exercises | p. 148 |
Certainty Factors Theory | p. 153 |
Certainty Factors | p. 153 |
Stanford Algebra | p. 154 |
Certainty Factors and Measures of Belief and Disbelief | p. 156 |
Solved Exercises | p. 158 |
Belief Theory | p. 161 |
Belief Approach | p. 161 |
Agreement Measures | p. 163 |
Dempster-Shafer Theory | p. 165 |
The Pignistic Transform | p. 171 |
Combining Beliefs. The Dempster's Formula | p. 172 |
Difficulties with Dempster-Shafer's Theory | p. 176 |
Specializations and the Transferable Belief Model | p. 177 |
Conditional Beliefs and the Generalized Bayesian Theorem | p. 180 |
Solved Exercises | p. 181 |
Possibility Theory | p. 187 |
Necessity and Possibility Measures | p. 187 |
Conditional Possibilities | p. 190 |
Exercises | p. 193 |
Approximate Reasoning | p. 195 |
Fuzzy Sets, Fuzzy Numbers, Fuzzy Relations | p. 195 |
Fuzzy Propositions and Fuzzy Logic | p. 204 |
Hedges | p. 206 |
Fuzzy Logic | p. 212 |
Approximate Reasoning | p. 218 |
Defuzzification | p. 224 |
Approach by Precision Degrees | p. 226 |
Solved Exercises | p. 228 |
Review | p. 233 |
Review of Uncertainty and Imprecision | p. 233 |
Production Rules | p. 239 |
Perception-Based Theory | p. 242 |
Solved Exercises | p. 244 |
References | p. 247 |
Index | p. 251 |
Table of Contents provided by Ingram. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.