Susan G. Josephson

Abductive Inference: Computation, Philosophy, Technology

Introduction 1. Conceptual analysis of abduction: what is abduction? 2. Knowledge-based systems and the science of AI: 3. Two RED systems 4. Generalizing the control strategy 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS 6. Better task analysis, better strategy 7. Computational complexity of abduction 8. Diagnostic systems MDX2 and QUADS 9. Practical abduction 10. Perception and language understanding Appendices.

Abductive inference: Acknowledgments

Introduction 1. Conceptual analysis of abduction: what is abduction? 2. Knowledge-based systems and the science of AI: 3. Two RED systems 4. Generalizing the control strategy 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS 6. Better task analysis, better strategy 7. Computational complexity of abduction 8. Diagnostic systems MDX2 and QUADS 9. Practical abduction 10. Perception and language understanding Appendices.

Abductive inference: Index

Introduction 1. Conceptual analysis of abduction: what is abduction? 2. Knowledge-based systems and the science of AI: 3. Two RED systems 4. Generalizing the control strategy 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS 6. Better task analysis, better strategy 7. Computational complexity of abduction 8. Diagnostic systems MDX2 and QUADS 9. Practical abduction 10. Perception and language understanding Appendices.

Abductive inference: Contents

Introduction 1. Conceptual analysis of abduction: what is abduction? 2. Knowledge-based systems and the science of AI: 3. Two RED systems 4. Generalizing the control strategy 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS 6. Better task analysis, better strategy 7. Computational complexity of abduction 8. Diagnostic systems MDX2 and QUADS 9. Practical abduction 10. Perception and language understanding Appendices.

Abductive inference: Frontmatter

Introduction 1. Conceptual analysis of abduction: what is abduction? 2. Knowledge-based systems and the science of AI: 3. Two RED systems 4. Generalizing the control strategy 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS 6. Better task analysis, better strategy 7. Computational complexity of abduction 8. Diagnostic systems MDX2 and QUADS 9. Practical abduction 10. Perception and language understanding Appendices.

Abductive inference: Contributors

Introduction 1. Conceptual analysis of abduction: what is abduction? 2. Knowledge-based systems and the science of AI: 3. Two RED systems 4. Generalizing the control strategy 5. More kinds of knowledge: TIPS and PATHEX/LIVER TIPS 6. Better task analysis, better strategy 7. Computational complexity of abduction 8. Diagnostic systems MDX2 and QUADS 9. Practical abduction 10. Perception and language understanding Appendices.