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| Preface | ||
| Ch. 1 | What Are Neural Logic Networks? | 1 |
| 1.1 | Why Do We Need A New Neural Network Model? | 3 |
| 1.2 | The Mathematical Definition Of Neural Logic Networks | 4 |
| 1.3 | A Closer Look At The Definition Of Neural Logic Networks | 14 |
| 1.4 | Potential Applications Of Neural Logic Networks | 23 |
| 1.5 | The Neural Logic Family Of Networks | 36 |
| 1.6 | The Design And Construction Of Neural Computers | 49 |
| Ch. 2 | Neural Logic Networks And Human Logical Reasoning | 51 |
| 2.1 | What Is Human Logic? | 53 |
| 2.2 | Neural Logic Networks: Basic Concepts | 59 |
| 2.3 | Neural Logic Networks: Basic Operations | 77 |
| 2.4 | Neural Logic Networks: Basic Theorems | 96 |
| 2.5 | Propositional Neural Logic: Propositional Language | 124 |
| 2.6 | Propositional Neural Logic: Logical Deductions | 149 |
| 2.7 | First Order Neural Logic | 179 |
| 2.8 | Neural Logic: Future Research Directions | 246 |
| 2.9 | Neural Logic And Human Logic | 298 |
| Ch. 3 | Neural Logic And Human Intuition | 301 |
| 3.1 | What Is Human Intuition? | 303 |
| 3.2 | Neural Logic Brains | 308 |
| 3.3 | Neural Set Theory | 329 |
| 3.4 | Real World Concepts Processing | 354 |
| 3.5 | A Study Of Classification And Recognition Of Object Based On Attribute Patterns Processing | 380 |
| 3.6 | Classification And Recognition Of Objects Based On Similarity Relations | 403 |
| 3.7 | Classification And Recognition Of Object Based On Incomplete Attribute Patterns | 416 |
| 3.8 | Neural Inferences | 441 |
| 3.9 | Neural Logic Networks And Human Intuition - Unfinished Tasks | 497 |
| References | 499 | |
| Index | 501 |
