| Abstract | .... 2 | |
| 1 | Introduction | .... 2 |
| 2 | IBL Overview | .... 2 |
| 2.1 | Observation Environment | .... 3 |
| 2.2 | Interpretation and Learning System | .... 3 |
| 3 | Observation problems | .... 3 |
| 3.1 | Interpretation Problems | .... 3 |
| 3.2 | Rule Generalization Problems | .... 4 |
| 4 | Interpretation&Learning | .... 5 |
| 4.1 | Learning Input and Output | .... 5 |
| 4.2 | Learning Strategy | .... 6 |
| 5 | Advance KNowledge | .... 7 |
| 5.1 | Domain Concept Knowledge | .... 7 |
| 5.2 | Concept Relation Knowledge | .... 7 |
| 5.3 | Interpretation Knowledge | .... 7 |
| 6 | PRE-Generalization | .... 8 |
| 6.1 | Rule Generation | .... 8 |
| 6.2 | Noise Reduction | .... 8 |
| 6.3 | Concept Relation Check | .... 8 |
| 6.4 | Generalization and Specification | .... 8 |
| 7 | Object Model | .... 9 |
| 8 | Conclusions | .... 9 |
| Acknowledgements | .... 10 | |
| References | .... 10 |
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