Rep. No. TM-86, Laboratory for Computer Science, Massachusetts Institute of Technology.

The program analyses carefully the initial situation. It creates some plans and tries to execute them. It analyses the situations deeper in the tree only if the plan fails. In that case it generates new plans correcting what is wrong in the old one. So, the program considers only natural branches of the tree. It can find combinations for which it is necessary to look more than twenty ply ahead. The paper describes the methods used for analyzing a situation and for modifying unsuccessful plans. Then we examine some results found by the program.Artificial Intelligence 8 (1977), 275-321

In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.

"The epistemological part of Al studies what kinds of facts about the world are available to an observer with given opportunities to observe, how these facts can be represented in the memory of a computer, and what rules permit legitimate conclusions to be drawn from these facts. It leaves aside the heuristic problems of how to search spaces of possibilities and how to match patterns."See also: IJCAI 5, 1038-1044In Readings in Artificial Intelligence, B.L. Webber and N.J. Nilsson (eds.), Tioga Publishing, 1981.

In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.

In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley, 151-168.

In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.

AI Memo 389, AI Laboratory, Massachusetts Instituteof Technology.

Boitet, C. 1977 Where Does GETA Stand at the Beginning of Brinkmann, K.-H.

Computer-Based Medical Consultations: MYCIN focuses on MYCIN, a novel computer-based expert system designed to assist physicians with clinical decisions concerning the selection of appropriate therapy for patients with infections. It discusses medical computing, artificial intelligence, and the clinical problem areas for which the MYCIN program is designed, and it describes in detail how the MYCIN program helps physicians in making decisions. Comprised of seven chapters, this volume begins with an overview of MYCIN and the criteria used in its design. The book also explores MYCIN'S ability to answer questions with respect to its knowledge base and the details of a specific consultation, evaluation and future extensions of the MYCIN system, the limitations and accomplishments of MYCIN, and its contributions in artificial intelligence and computer-based medical decision making. This book is a valuable source of information for computer scientists and members of the medical community.