Congratulations to the 2004 AAAI Award winners!
Tom Mitchell, AAAI Past President and Awards Committee Chair, and Ron Brachman, AAAI President, presented the AAAI Awards recently at AAAI-04 in San Jose, California. The award winners received a certificate and a check for $1,000.
2004 Classic Paper Award
The 2004 AAAI Classic Paper Award was given to the author of the most influential paper from the Fourth National Conference on Artificial Intelligence, held in 1984 in Austin, Texas. The Awards Committee selected Hector J. Levesque, of the University of Toronto, to receive this award for his paper, “A Logic of Implicit and Explicit Belief.” Levesque was honored for his seminal contributions to the formalization of knowledge and belief.
Two papers from 1984 received 2004 Classic Paper Honorable Mentions, including “A Theory of Action for MultiAgent Planning” by Michael Georgeff and “The Tractability of Subsumption in Frame-Based Description Languages” by Ronald J. Brachman and Hector J. Levesque. Georgeff was honored for his seminal contributions to formalisms and algorithms for multiagent planning. Brachman and Levesque were honored for their seminal contributions to understanding the relationship between formal knowledge representations and computational tractability.
2004 AAAI Distinguished Service Award
The 2004 AAAI Distinguished Service Award recognizes one individual each year for extraordinary service to the AI community. The AAAI Awards Committee is pleased to announce that this year’s recipient is Bruce Buchanan of the University of Pittsburgh. Buchanan was honored specifically for a lifetime of service to the science of artificial intelligence, including seminal scientific contributions to knowledge-based systems and machine learning, educational impacts on many graduate students and on researchers in medicine, philosophy, and other fields beyond the borders of AI, and selfless professional service as Secretary-Treasurer and President of AAAI.
For more information about nominations for AAAI 200S Awards, please contact Carol Hamilton at hamilton@aaai.org or 650-328-3123.
Robert S. Engelmore Memorial Lecture Award This award was established in 2003 to honor Robert S. Engelmore’s extraordinary service to AAAI, AI Magazing and the AI applications community, and his contributions to applied AI. The annual keynote lecture is presented at the Innovative Applications of Artificial Intelligence Conference. Topics encompass Bob’s wide interests in AI, and each lecture is linked to a subsequent article published upon approval by AI Magazine. The lecturer and author for the magazine article are chosen jointly by the IAAI program committee and the editor of AI Magazine.
AAAI congratulates the 2004 recipient of this award, Edward A. Feigenbaum of Stanford University. Feigenbaum was honored for his decades of technical, business, and government leadership in AI, as well as pioneering research on knowledge-based systems. His lecture, “The Power of Clear and Demonstrative Knowledge: In Honor of a True Son of Science,” revisited some of the themes that were central to Bob Engelmore’s work in a contemporary context, including his “knowledge is power” hypothesis, knowledge webs, new applications of knowledge-based systems, and particularly the blackboard-architectures that Engelmore helped to develop.
Hector Levesque received his B.Sc., M.Sc., and Ph.D. degrees from the University of Toronto in 1975, 1977, and 1981, respectively. After graduation, he accepted a position at the Fairchild Laboratory for AI Research in Palo Alto, and then joined the faculty at the University of Toronto where he has remained since 1984. Levesque has published over 60 research papers, and is the coauthor of a recent textbook on knowledge representation and reasoning. In 1985, he was the first non-U.S. citizen to receive the Computers and Thought Award given by IJCAI. He was the recipient of an E.W.R. Steacie Memorial Fellowship from the Natural Sciences and Engineering Research Council of Canada for 1990-91. He was also a fellow of the Canadian Institute for Advanced Research from 1984 to 1995, and is a founding fellow of AAAI. He has served on the executive council of the AAAI, and was a co-founder of the International Conference on Principles of Knowledge Representation and Reasoning. In 2001, Levesque was the the IJCAI.01 conference chair, and served as president of the board of trustees of IJCAI from 2001 to 2003.
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Michael Georgeff is principal of Precedence Research and research professor in the Faculty of Information Technology at Monash University, Melbourne, Australia. In 1988, Georgeff founded the Australian Artificial Intelligence Institute and, in 1997, founded Agentis Software, which provides adaptive enterprise management products for Fortune 1000 companies. Prior to 1988, Georgeff was program director in the Artificial Intelligence Center at SRI International. He was also a member of Stanford University’s Center for the Study of Language and Information. During this period, he and his team created one of the first implementations of software agent technology, applying it to the control of NASNs space shuttle.
Georgeff is a former trustee and president of the International Joint Conference on Artificial Intelligence and chair of the steering committee for the Pacific Rim International Conference on Artificial Intelligence. He was elected an AAAI Fellow in 1995 for his “pioneering theory and applications of reactive planning systems and agent architectures.” He is also a Fellow of the Australian Computer Society. Georgeff holds a P.hD. from Imperial College, London.
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Ron Brachman is the director of the Information Processing Technology Office at the Defense Advanced Research Projects Agency (DARPA). Prior to joining DARPA, Brachman was a research vice president at AT&T Labs and, previously, at Bell Labs. His laboratory performed research in IP communications services and supporting technologies, including secure systems, human-computer interaction, and AI. Prior to joining Bell Labs in 1985, Brachman was instrumental in the design and implementation of several well-known knowledge representation systems, including KL-One, Krypton, and CLASSIC, and his work formed the basis for an entire subfield of research in AI (description logics). He received the B.S.E.E. degree from Princeton University (1971), and S.M. and Ph.D. degrees in applied mathematics from Harvard University (1972, 1977).
Brachman is currently president of the American Association for Artificial Intelligence (AAAI). He has been program chair of the National Conference on Artificial Intelligence, is the coeditor of several books, and with Hector Levesque and Ray Reiter in 1989 founded a series of international conferences on Principles of Knowledge Representation and Reasoning, which continue to this day. He served as secretary-treasurer for the International Joint Conferences on Artificial Intelligence from 1993 to 2002. He has published numerous technical papers, has won a Best Paper award, and, with Hector Levesque, recently published Knowledge Representation and Reasoning. He is a founding Fellow of AAAI, and was inducted as a Fellow of the Association for Computing Machinery in 1999.
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Bruce Buchanan received a B.A. in mathematics from Ohio Wesleyan University (1961) and M.S. and Ph.D. degrees in philosophy from Michigan State University (1966). At Stanford University, he was one of the principals in the design and development of DENDRAL, Meta-DENDRAL (RL), MYCIN, E-Mycin, and PROTEAN. He is now university professor emeritus at the University of Pittsburgh, where he has joint appointments with the Departments of Computer Science, Philosophy, and Medicine and the Intelligent Systems Program. He is a fellow of the American Association for Artificial Intelligence (AAAI), a fellow of the American College of Medical Informatics, and a member of the National Academy of Science Institute of Medicine. He has served on the editorial boards of several journals and has served as secretary-treasurer of AAAI (1986-1992) and as president
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Edward Feigenbaum is Kunragai Professor of Computer Science Emeritus at Stanford University. He earned his Ph.D. at Carnegie Institute of Technology (now CMU) in 1959. In the 1960s he pioneered the development of the expert systems field. From 1976-1981, he was chair of Stanford University’s Computer Science Department. In the 1980s, he participated in the start-up of several companies that commercialized expert systems technology. During 1994-1997, he was chief scientist of the U.S. Air Force (at the Pentagon).
In 1963, he coedited the early anthology, Computers and Thought. In the early 1980s he coedited the four-volume Handbook of Artificial Intelligence and co-authored two books about AI and expert systems: The Fifth Generation and The Rise of the Expert Company. His recent book, The Japanese Entrepreneur: Making the Desert Bloom, was published in Japan.
He was elected to the National Academy of Engineering, and the American Academy of Arts and Sciences. He was the second president of the American Association for Artificial Intelligence. In 1995, he was awarded the highest research honor of computer science–the ACM Turing Award of the Association for Computing Machinery.
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