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| Preface | |
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| Preface to the second edition | |
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| Acknowledgements | |
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| Introduction to knowledge-based intelligent systems | |
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| Intelligent machines, or what machines can do | |
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| The history of artificial intelligence, or from the 'Dark Ages' to knowledge-based systems | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Rule-based expert systems | |
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| Introduction, or what is knowledge? | |
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| Rules as a knowledge representation technique | |
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| The main players in the expert system development team | |
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| Structure of a rule-based expert system | |
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| Fundamental characteristics of an expert system | |
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| Forward chaining and backward chaining inference techniques | |
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| MEDIA ADVISOR: a demonstration rule-based expert system | |
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| Conflict resolution | |
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| Advantages and disadvantages of rule-based expert systems | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Uncertainty management in rule-based expert systems | |
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| Introduction, or what is uncertainty? | |
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| Basic probability theory | |
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| Bayesian reasoning | |
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| FORECAST: Bayesian accumulation of evidence | |
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| Bias of the Bayesian method | |
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| Certainty factors theory and evidential reasoning | |
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| FORECAST: an application of certainty factors | |
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| Comparison of Bayesian reasoning and certainty factors | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Fuzzy expert systems | |
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| Introduction, or what is fuzzy thinking? | |
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| Fuzzy sets | |
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| Linguistic variables and hedges | |
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| Operations of fuzzy sets | |
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| Fuzzy rules | |
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| Fuzzy inference | |
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| Building a fuzzy expert system | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Bibliography | |
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| Frame-based expert systems | |
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| Introduction, or what is a frame? | |
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| Frames as a knowledge representation technique | |
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| Inheritance in frame-based systems | |
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| Methods and demons | |
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| Interaction of frames and rules | |
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| Buy Smart: a frame-based expert system | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Bibliography | |
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| Artificial neural networks | |
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| Introduction, or how the brain works | |
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| The neuron as a simple computing element | |
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| The perceptron | |
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| Multilayer neural networks | |
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| Accelerated learning in multilayer neural networks | |
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| The Hopfield network | |
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| Bidirectional associative memory | |
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| Self-organising neural networks | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Evolutionary computation | |
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| Introduction, or can evolution be intelligent? | |
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| Simulation of natural evolution | |
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| Genetic algorithms | |
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| Why genetic algorithms work | |
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| Case study: maintenance scheduling with genetic algorithms | |
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| Evolution strategies | |
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| Genetic programming | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Bibliography | |
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| Hybrid intelligent systems | |
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| Introduction, or how to combine German mechanics with Italian love | |
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| Neural expert systems | |
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| Neuro-fuzzy systems | |
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| ANFIS: Adaptive Neuro-Fuzzy Inference System | |
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| Evolutionary neural networks | |
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| Fuzzy evolutionary systems | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Knowledge engineering and data mining | |
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| Introduction, or what is knowledge engineering? | |
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| Will an expert system work for my problem? | |
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| Will a fuzzy expert system work for my problem? | |
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| Will a neural network work for my problem? | |
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| Will genetic algorithms work for my problem? | |
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| Will a hybrid intelligent system work for my problem? | |
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| Data mining and knowledge discovery | |
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| Summary | |
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| Questions for review | |
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| References | |
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| Glossary | |
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| Appendix | |
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| Index | |