Edward Feigenbaum, Panel Chair

Edward Feigenbaum is Professor of Computer Science at Stanford University and Co-Scientific Director of the Heuristic Programming Project at Stanford. He is one of the pioneers of artificial intelligence. His research has involved knowledge-based systems concepts, the invention of expert systems technology, and many applications of expert systems to engineering and business problems. He has served as Chairman of Stanford's Computer Science Department, and as Director of Stanford's Computer Center. Professor Feigenbaum is a co-founder of three start-up firms in applied artificial intelligence. He is co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and is co-author of several books, including The Fifth Generation and The Rise of the Expert Company. He is an elected member of the National Academy of Engineering and the American Academy of Arts and Science and a Fellow of the American Association for Artificial Intelligence (AAAI). Dr. Feigenbaum received his BA, MS and PhD degrees from Carnegie Mellon University.

Robert S. Engelmore

Robert Engelmore is Senior Research Scientist and Executive Director of the Heuristic Programming Project (HPP) in the Computer Science Department at Stanford University, a position he has held since 1985. His primary professional interest is in applications of artificial intelligence methods to scientific, industrial, and military domains. In addition to his research pursuits at Stanford, Dr. Engelmore was Editor-in-Chief of AI Magazine, a quarterly publication of the American Association for Artificial Intelligence, from 1981 through 1991. He is co-editor of the book Blackboard Systems (Addison-Wesley, 1988). Dr. Engelmore has served as Program Manager for agency-sponsored research in artificial intelligence at the Defense Advanced Research Projects Agency, and was a founder of Teknowledge, Inc. He is also a consultant to industry and government on applications of knowledge systems technology. He has been active in the field of artificial intelligence since 1970. He is a Fellow of the AAAI.

Peter E. Friedland

Peter Friedland received AB (Chemistry) and BSE (Electrical Engineering) degrees in 1974 from Princeton University and a PhD in Computer Science from Stanford University in 1979, conducting research on the application of artificial intelligence to the design of experiments in molecular biology. He acted as Research Director of the MOLGEN project at Stanford, 1979-1986, continuing research into planning, knowledge representation, and learning within the biological domain. In 1980 he co-founded two companies, IntelliCorp and Teknowledge, to commercialize the emerging field of knowledge-based or expert systems. In January 1987, Dr. Friedland joined NASA Ames Research Center as Chief of the Artificial Intelligence Research Branch with responsibilities for creating a fundamental research capability in artificial intelligence within NASA, as well as managing an extensive collaborative program with industry and academia. In addition, Dr. Friedland co-manages (with Dr. M. Montemerlo) the NASA-wide AI program. He is a Fellow of the AAAI.

Bruce B. Johnson

Bruce Johnson is a partner in Andersen Consulting. He is the founder and current director of Andersen's Center for Strategic Technology Research (CSTaR). CSTaR conducts programs of research in business process design, decision technology, corporate knowledge management, groupware, managing the information explosion, and advanced software engineering. He also coordinates Andersen's research in other institutions. He helped found the Institute for the Learning Sciences at Northwestern University and serves as chairman of the Requirements Advisory Board of MCC in Austin, Texas, among others. Prior to forming CSTaR, he initiated Andersen's practice in artificial intelligence and worked as a systems engineering manager for NASA in Houston, Texas. Dr. Johnson is a member of the IEEE Software Industrial Advisory Board. He consults with commercial clients of Andersen Consulting and with research clients, such as the U.S. government. Dr. Johnson received his BS in Civil Engineering, an ME in Structural Engineering, and PhD in Structural Mechanics and Computer Science from Texas A&M University.

H. Penny Nii

Penny Nii is a Senior Research Scientist at the Knowledge Systems Laboratory (KSL) at Stanford University. She was the project leader of the KASE (Knowledge- Assisted Software Engineering) project, which developed a knowledge-based CASE tool for software system designers and analysts. She also developed AGE, one of the first expert system shells, which was licensed to Fujitsu and is marketed as ESHELL. Before joining KSL in 1975, she developed the HASP signal understanding program at Systems Control Inc. between 1972 and 1975. She worked in IBM's Federal Systems Division, T.J. Watson Research Center, and the IBM World Trade Asia Corporation. She is co-author, with Edward Feigenbaum and Pamela McCorduck, of The Rise of the Expert Company (Times Books, 1988) and The First Artificial Intelligence Coloring Book. Ms. Nii received a BS in Mathematics from Tufts University and an MS in Computer Science from Stanford University.

Herbert Schorr

Since 1988 Herbert Schorr has been Executive Director of the Information Sciences Institute of the University of Southern California. He is a graduate of the City University of New York and received his PhD in Electrical Engineering from Princeton University in 1963. He joined IBM after a year each at Cambridge University as a post-doctoral fellow and Columbia University as Assistant Professor. Dr. Schorr's career at IBM included development, research, and corporate planning assignments. Specific positions he has held include: Vice President, Product and Service Planning, Advanced Systems Development Division; Vice President, Systems Research Division; and ES Director, Advanced Systems, Enterprise Systems. In his last position at IBM he had product, marketing, and development responsibilities for AI within IBM, and similar responsibilities for image-enhanced systems.

Howard Shrobe

Howard Shrobe is a Principal Research Scientist at the MIT Artificial Intelligence Laboratory and was Technical Director of Symbolics Inc. His work has spanned the areas of VLSI design, computer architecture, and artificial intelligence. He received his MS and PhD degrees from the Artificial Intelligence Laboratory at MIT where he was a co-founder of the Programmer's Apprentice project. In 1979 he joined the staff of the MIT AI Lab as a Principal Research Scientist and in that role was one of the main designers of the Scheme-81 microprocessor (a LISP interpreter on a chip) and the DPL/Daedalus Integrated Circuit Design. He also helped found the Hardware Troubleshooting Project at the MIT AI Lab and is currently conducting research on designing and understanding mechanisms. At Symbolics, Dr. Shrobe was one of the architects of the Ivory microprocessor and of the NS CAD system used to design it. Since that time he has led the effort to develop Joshua, an AI programming language which introduced the notion of a Protocol of Inference. Dr. Shrobe is co-author (with David Barstow and Eric Sandewall) of Interactive Programming Environment and editor of Exploring Artificial Intelligence: Surveys from the National Conferences on Artificial Intelligence. He is a Fellow of the AAAI.

Published: May 1993; WTEC Hyper-Librarian