Peter Szolovits is an associate professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. A specialist in artificial intelligence (AI) with an emphasis on medical applications, he is currently concerned with fundamental issues of representation and reasoning, including protocol analysis to discover how clinicians reason about probability and causality, and with programs which model human expert performance in some areas of medical diagnosis and care.

• 1. Artificial Intelligence and Medicine 2. Representation of Expert Knowledge for Consultation: The Casnet and Expert Projects 3. Consultation, Knowledge Acquisition, and Instruction: A Case Study 4. The Development of Clinical Expertise in the Computer 5. Heuristic Methods for Imposing Structure on Ill-Structured Problems: The Structuring of Medical Diagnostics 6. Modeling Knowledge of the Patient in Acid-Base and Electrolyte Disorders 7. Conclusion

Peter Szolovits is an associate professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. A specialist in artificial intelligence (AI) with an emphasis on medical applications, he is currently concerned with fundamental issues of representation and reasoning, including protocol analysis to discover how clinicians reason about probability and causality, and with programs which model human expert performance in some areas of medical diagnosis and care.

• 1. Artificial Intelligence and Medicine 2. Representation of Expert Knowledge for Consultation: The Casnet and Expert Projects 3. Consultation, Knowledge Acquisition, and Instruction: A Case Study 4. The Development of Clinical Expertise in the Computer 5. Heuristic Methods for Imposing Structure on Ill-Structured Problems: The Structuring of Medical Diagnostics 6. Modeling Knowledge of the Patient in Acid-Base and Electrolyte Disorders 7. Conclusion

Peter Szolovits is an associate professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. A specialist in artificial intelligence (AI) with an emphasis on medical applications, he is currently concerned with fundamental issues of representation and reasoning, including protocol analysis to discover how clinicians reason about probability and causality, and with programs which model human expert performance in some areas of medical diagnosis and care.

• 1. Artificial Intelligence and Medicine 2. Representation of Expert Knowledge for Consultation: The Casnet and Expert Projects 3. Consultation, Knowledge Acquisition, and Instruction: A Case Study 4. The Development of Clinical Expertise in the Computer 5. Heuristic Methods for Imposing Structure on Ill-Structured Problems: The Structuring of Medical Diagnostics 6. Modeling Knowledge of the Patient in Acid-Base and Electrolyte Disorders 7. Conclusion