Program (July 28) is currently accepting nominations accessible to the general public or Tenth AAAI/SIGART Doctoral Consortium for AAAI Fellow. The AAAI Fellows to a broad AI audience (not just a subarea), (July 25-26) program is designed to written within the last two AAAI Intelligent Systems Demonstrations recognize people who have made significant, years.

However, what are the application areas include autonomous spacecraft key research topics? There are the scientific disciplines support, failure analysis and on-board diagnosis such as physics and chemistry that develop of vehicle systems, automated generation theories, and there are engineering disciplines of control software for photocopiers, and intelligent aids for learning about thermodynamic that develop solutions that change the cycles. Qualitative reasoning is thus relevant physical world. Both use formal mathematical for researchers who are interested in important systems, as well as computer implementations, AI issues as well as for managers, to derive conclusions about natural and artificial developers, and engineers who are looking for pieces of the world. Does this approach potential industrial benefits of AI. not provide a systematic and formal way to A decade has passed since the publication of reason about the physical world? What remains three collections of papers and a book covering to be done for AI research in this area?

However, all eligible students The American Association for Artificial Technical Papers, Workshop Proposals, are encouraged to apply. Intelligence presents the 2004 Tutorial Forum Proposals, Student After the conference, an expense Spring Symposium Series, to be held Programs, Intelligent Systems report will be required to account for Monday through Wednesday, March Demonstrations, and other related the funds awarded.

Hence, no training phase is needed. The local statistics define an with white lines; goals are blue and yellow; and expectation of "how the two sides of the curve robots are black with light blue or magenta might look." Second, refine the estimation of model parameters These stringent rules allow for simple mechanisms by (1) updating the mean of the estimation for object detection and recognition: in a maximum a posteriori step such that Segment the captured image into blobs of the the vicinity of the curve matches the expectation same color and interpret these blobs. To the defined by the local statistics and (2) updating best of our knowledge, all autonomous robot the covariance of the estimation based on soccer teams with vision-based perception apply the Hessian of the resulting objective function. However, because The two steps are repeated until there is no the RoboCup committee is planning to significant change in the estimated Gaussian make the rules more realistic, these objectrecognition distribution.

Robert S. (Bob) Engelmore, who retired in 1998 He When the HPP's goal shifted to studying information Allan Terry's of Technology (later Carnegie Mellon University) Ph.D. dissertation and several publications and became a physics major. He had close grew out of this work. Working with crystallographers friendships with (later-to-be AI scientists) Professor Joseph Kraut and Dr. Steve Robert Lindsay and Ed Feigenbaum and Freer from the University of California at San roomed with Feigenbaum for six years of undergraduate Diego, Bob and Allan designed and implemented and graduate school. It graduate work, he met his future wife, Ellie, in was an ambitious project, involving sophisticated Pittsburgh. They were married in 1958.

Raymond Reiter, a professor of computer science at the University of Toronto, a fellow of the Royal Society of Canada, and winner of the International Joint Conference on Artificial Intelligence 1993 Outstanding Research Scientist Award, died September 16, 2002, after a year-long struggle with cancer. Reiter, known throughout the world as "Ray," made foundational contributions to artifi- cial intelligence, knowledge representation and databases, and theorem proving.

We hope by sending a message to majordomo@aaai.org AAAI regular members in the body of the message: subscribe can view and browse tables of aaai-members. Acapulco is the largest and most AAAI events and deadlines. They may also view, print, at www.aaai.org/AITopics/aitopics. stunning beaches, exuberant natural and/or download excerpts of reasonable html. Participation in this Registration information for the America, since its functional, modern experimental program is included in Eighteenth International Joint Conference infrastructure has had very little impact your normal AAAI membership dues.

In the span of a few months, the AI community lost four important figures. The fall of 2002 marked the passing of Ray Reiter, for whom a memorial article by Jack Minker appears in this issue. As the issue was going to press, AI lost Saul Amarel, Norm Nielsen, and Charles Rosen. This section of AI Magazine commemorates these friends, leaders, and AI pioneers. We thank Tom Mitchell and Casimir Kulikowski for their memorial to Saul Amarel, Ray Perrault for his remembrance of Norm Nielsen, and Peter Hart and Nils Nilsson for their tribute to Charles Rosen. The AI community mourns our lost colleagues and gratefully remembers their contributions, which meant so much to so many and to the advancement of artificial intelligence as a whole.

Raymond Reiter, a professor of computer science at the University of Toronto, a fellow of the Royal Society of Canada, and winner of the International Joint Conference on Artificial Intelligence 1993 Outstanding Research Scientist Award, died September 16, 2002, after a year-long struggle with cancer. Reiter, known throughout the world as "Ray," made foundational contributions to artifi- cial intelligence, knowledge representation and databases, and theorem proving.

A basic promise of AI research is that what we observe as human intelligence is in fact a computation either directly or as an emergent effect. An attempt at classifying and distinguishing types of AI researchers was to call them all either scruffy (those that wrote code and implemented systems) or neat (those that base AI on some formalism like first order predicate calculus). Out of necessity, researchers tend to focus on a particular aspect of intelligence to simulate. When this is done, the effect is to restrict the class of computations that are being considered.