It is Lynn Andrea Stein, Carol AAAI's new Secretary/Treasurer.

Laird's system is a greedy one, using hill climbing to Conference conference, some participants elected descriptions of funnels, operators organizers were Derek Sleeman (conference to stay an extra day to participate whose preconditions and postconditions chair) and Peter Edwards in one of several informal workshops. Because it is impossible to review Once the descriptions are obtained, Since the first machine-learning all the papers presented, this article planning becomes simply a matter of workshop was held at Carnegie-Mellon briefly touches on six selected talks search to identify a sequence of funnels University (CMU) in July 1980, that were, in my opinion, of exceptional with high probability of success. These capsule summaries Like Laird, Christiansen used an alternating between a more formal are intended to serve as a representative empirical test on the classic tray-tilting conference format and a more informal sample of the research manipulation problem to evaluate workshop format. This summer's presented at the conference; the the effectiveness of his approach. View, California) presented his clustering techniques to the problem All conference sessions were held work on dynamic optimization of of learning action models for a robotnavigation on the stately campus of King's College pure Prolog programs.

If you think this paper has strongly negative effect on the rate of The AAAI Press shortcomings, but its publication progress in the field. However, by all measures the '93 are hashed out in public. "Preliminary work" category were doesn't mean that the author doesn't At the get a fair, public hearing. "innovative" papers was a failure. My explanation of this fact is "expert" bodies in private discussion. General Motors Corporation have read the papers being discussed, around.

This article contains an overview of recent and ongoing projects at Boeing's Huntsville Advanced Computing Group (ACG). In addition, it contains an overview of some of the work being conducted by Boeing's Advanced Civil Space Systems Group. One aspect of ACG's charter is to support the efforts of other groups at Boeing. Thus, AI is not considered a stand-alone field but, instead, is considered an area that can be used to find both long- and short-term solutions for Boeing and its customers. All the projects listed here represent a team effort on the part of both ACG researchers and members of other Boeing organizations.

The field of AI is directed at the fundamental problem of how the mind works; its approach, among other things, is to try to simulate its working -- in bits and pieces. History shows us that mankind has been trying to do this for certainly hundreds of years, but the blooming of current computer technology has sparked an explosion in the research we can now do. The center of AI is the wonderful capacity we call learning, which the field is paying increasing attention to. Learning is difficult and easy, complicated and simple, and most research doesn't look at many aspects of its complexity. However, we in the AI field are starting. Let us now celebrate the efforts of our forebears and rejoice in our own efforts, so that our successors can thrive in their research. This article is the substance, edited and adapted, of the keynote address given at the 1992 annual meeting of the Association for the Advancement of Artificial Intelligence on 14 July in San Jose, California.

The first Robotics Exhibition and Competition sponsored by the Association for the Advancement of Artificial Intelligence was held in San Jose, California, on 14-16 July 1992 in conjunction with the Tenth National Conference on AI. This article describes the history behind the competition, the preparations leading to the competition, the threedays during which 12 teams competed in the three events making up the competition, and the prospects for other such competitions in the future.

Computational Linguistics, 19 (2), 313-30.

In VISION-21 Symposium. NASA Lewis Research Center and the Ohio Aerospace Institute.

The field of AI is directed at the fundamental problem of how the mind works; its approach, among other things, is to try to simulate its working -- in bits and pieces. History shows us that mankind has been trying to do this for certainly hundreds of years, but the blooming of current computer technology has sparked an explosion in the research we can now do. The center of AI is the wonderful capacity we call learning, which the field is paying increasing attention to. Learning is difficult and easy, complicated and simple, and most research doesn't look at many aspects of its complexity. However, we in the AI field are starting. Let us now celebrate the efforts of our forebears and rejoice in our own efforts, so that our successors can thrive in their research. This article is the substance, edited and adapted, of the keynote address given at the 1992 annual meeting of the Association for the Advancement of Artificial Intelligence on 14 July in San Jose, California. AI Magazine 14(2): 36-48.

In AAAI-93, pp. 811–816.