In August 1992, the world checkers champion, Marion Tinsley, defended his title against the computer program CHINOOK. Because of its success in human tournaments, CHINOOK had earned the right to play for the world championship. Tinsley won the best-of-40-game match with a score of 4 wins, 2 losses, and 33 draws. This event was the first time in history that a program played for a human world championship and might be a prelude to what is to come in chess. This article tells the story of the first Man versus Machine World Championship match.

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.

The 1992 Workshop on Design Rationale Capture and Use took place on 15 July in San Jose, California. The goal of the workshop was to bring together people interested in design rationale management and promote interaction among them. Participants were selected from different parts of academia (computer science, human-computer interaction, management, civil engineering, mechanical engineering) as well as from industry. This article summarizes the issues that were raised and discussed during the workshop, categorized under these headings: the nature of design rationale, services: what good are design rationales, representation: what information is worth capturing and reusing, production of rationales, semiformal approaches, and future collaboration.

We report on the spring 1992 symposium on diagrammatic representations in reasoning and problem solving sponsored by the Association for the Advancement of Artificial Intelligence. The symposium brought together psychologists, computer scientists, and philosophers to discuss a range of issues covering both externally represented diagrams and mental images and both psychology -- and AI-related issues. In this article, we develop a framework for thinking about the issues that were the focus of the symposium as well as report on the discussions that took place. We anticipate that traditional symbolic representations will increasingly be combined with iconic representations in future AI research and technology and that this symposium is simply the first of many that will be devoted to this topic.

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

Expert systems are technologies to a utility function for generate-andtest the workshop was on the efficiency of support human reasoning by formalizing methods. These methods are conceived managing temporal facts in rulebased expert knowledge so that mechanized as incremental nonheuristic systems. Expert systems that reasoning methods can be algorithms that can be called repeatedly make use of temporal reasoning applied. In real-time systems, these to generate and test a hypothesis.

AI broadly "as the science of intelligence the philosophical problems associated with the machine metaphor and in general--or, more accurately, asks whether machine intelligence is as the intellectual core of Lee A. Gladwin

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.

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.