Matthew Ginsberg received his doctorate in mathematics from Oxford in 1980 at the age of 24. He remained on the faculty at Oxford until 1983, doing research in mathematical physics and computer science. During this period, he wrote a program that was used successfully to trade stock and stock options on Wall Street.

Ginsberg's continuing interest in artificial intelligence brought him to Stanford in late 1983, where he remained for nine years. He is currently a member of CIRL, the University of Oregon's Computational Intelligence Research Laboratory, which Ginsberg founded in 1992 and directed until July, 1996. Ginsberg's present interests include search, constraint satisfaction, and partition search. He is the author of numerous publications in these areas, the editor of "Readings in Nonmonotonic Reasoning", and the author of "Essentials of Artificial Intelligence", both published by Morgan Kaufmann.

Ginsberg is also the author of GIB, the world's first expert-level bridge-playing program.
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David Etherington received his Ph.D. in Computer Science (Artificial Intelligence) from the University of British Columbia in 1986. His dissertation was titled: Reasoning with Incomplete Information: Investigations of Non-monotonic Reasoning. From 1986 to 1993, he was a member of technical staff in the Artificial Intelligence Principles Research department of AT&T Bell Laboratories; he left to help start CIRL in 1993. In addition to his role managing development at OTS, he is also a Research Professor and Director at CIRL.

Dr. Etherington has published extensively, including a book on nonmonotonic reasoning, which was published by Pitman/Morgan Kaufmann in 1988. He was also founding chair of the International Federation for Information Processing (IFIP) Working Group on Knowledge Representation, has served as chair/co-chair/area-chair of several AI workshops and conferences, and on the editorial boards of Computational Intelligence (continuing) and the Journal of Artificial Intelligence Research.

His current research interests include representation, planning, optimization, and formal, tractable, theories of knowledge representation and commonsense reasoning.
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