Nestor Inc. (Providence, R.I.) and Intel Corp. (Santa Clara, Cal.) have The US Army Research Lab and the Knowledge Engineering Group of the US delivered the first samples of a Army Ordnance Center and School (Aberdeen Proving Grounds, Md.) have jointly developed, second-generation developed a visual expert system for diagnostics of the Ml tank's turbine engine. A visualization of the East Quayside area, including landscaping, American Medical Laboratories the road network, buildings, and the Tyne Bridge landmark, is being created (Chantilly, Va.) has implemented as a virtual world. Prospective tenants and purchasers will be able to three speech recognition systems to experience a "walk through" of the buildings. Togai InfraLogic (Irvine, Cal.) has been awarded a Phase II Small Business Innovation The three VoicePath systems, developed Research (SBIR) grant by NASA Johnson Space Center to study fuzzy by Kurzweil AI (Waltham, logic control for improving performance of thermal control systems, including Mass.), contain a 50,000-word dictionary, industrial applications such as air conditioning and energy control. Their research is aimed at helping manufacturers Sciaky (Chicago, Ill.), a developer improve their products while trimming production and retooling costs.

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.

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.

Although knowledge representation is one of the central and, in some ways, most familiar concepts in AI, the most fundamental question about it -- What is it? -- has rarely been answered directly. Numerous papers have lobbied for one or another variety of representation, other papers have argued for various properties a representation should have, and still others have focused on properties that are important to the notion of representation in general. In this article, we go back to basics to address the question directly. We believe that the answer can best be understood in terms of five important and distinctly different roles that a representation plays, each of which places different and, at times, conflicting demands on the properties a representation should have. We argue that keeping in mind all five of these roles provides a usefully broad perspective that sheds light on some longstanding disputes and can invigorate both research and practice in the field.

The system has reduced time The system, developed by Stereo-spent by store personnel on the telephone seeking answers to point-of-sale Graphics (San Rafael, Calif.), uses a technical problems, and it allows the help desk analysts to handle a wider range video projector equipped with a of responsibilities for the company. Viewers wear passive eye Swedish stock exchange, has developed an intelligent system to advise on how wear which allows each eye to view to deal in stocks and shares. The company's "hit rate" of dealing correctly with the appropriate image, thereby providing stocks has reportedly increased from 60% to 90%. IntelliCorp Inc. (Mountain View, Calif.), an expert system vendor, and James Inference Corp. (El Segundo, Calif.), Martin & Co. (Reston, Va.), a computer-aided software engineering (CASE) consulting a supplier of expert system development group, have launched a field test program for an object-oriented information tools, has teamed up with IDS engineering environment. The new product, called Object Management Financial Services (Minneapolis, Workbench, directly supports rapid application development, and will either Minn.) to jointly develop Macintosh generate a system immediately or draw information from currently available versions of Inference products.

The purpose of the Institute of Mathematical Statistics (IMS) is to foster the development and dissemination of the theory and applications of statistics and probability. The Institute was formed at a meeting of interested persons on September 12, 1935, in Ann Arbor, Michigan, as a consequence of the feeling that the theory of statistics would be advanced by the formation of an organization of those persons especially interested in the mathematical aspects of the subject. The Annals of Statistics and The Annals of Probability (which supersede The Annals of Mathematical Statistics), Statistical Science, and The Annals of Applied Probability are the scientific journals of the Institute. These and The IMS Bulletin comprise the official journals of the Institute. The Institute has individual membership and organizational membership.

We describe a comprehensive framework for narrative understanding based on Episodic Logic (EL). This situational logic was developed and implemented as a semantic representation and commonsense knowledge representation that would serve the full range of interpretive and inferential needs of general NLU. The most distinctive feature of EL is its natural language-like expressiveness. It allows for generalized quantifiers, lambda abstraction, sentence and predicate modifiers, sentence and predicate reification, intensional predicates (corresponding to wanting, believing, making, etc.), unreliable generalizations, and perhaps most importantly, explicit situational variables (denoting episodes, events, states of affairs, etc.) linked to arbitrary formulas that describe them. These allow episodes to be explicitly related in terms of part-whole, temporal and causal relations. Episodic logical form is easily computed from surface syntax and lends itself to effective inference.

Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires a great deal of manual knowledge engineering. This knowledge engineering bottleneck makes knowledge-based NLP systems impractical for real-world applications because they cannot be easily scaled up or ported to new domains. In response to this problem, we developed a system called AutoSlog that automatically builds a domain-specific dictionary of concepts for extracting information from text. Using AutoSlog, we constructed a dictionary for the domain of terrorist event descriptions in only 5 person-hours. We then compared the AutoSlog dictionary with a handcrafted dictionary that was built by two highly skilled graduate students and required approximately 1500 person-hours of effort. We evaluated the two dictionaries using two blind test sets of 100 texts each. Overall, the AutoSlog dictionary achieved 98% of the performance of the handcrafted dictionary. On the first test set, the Auto-Slog dictionary obtained 96.3% of the performance of the handcrafted dictionary. On the second test set, the overall scores were virtually indistinguishable with the AutoSlog dictionary achieving 99.7% of the performance of the handcrafted dictionary.

This technology was developed with funding from the National Sony, the Japanese consumer electronics Science Foundation. Working with experts from Armco Steel (Middletown, company, has developed OH), Carnegie Group developed a prototype system to diagnose an intelligent system to improve chatter in a coldrolling mill. In the and consulting company, has developed a PCbased virtual reality system company's semiconductor group, to provide financial planners a visual metaphor for viewing large The system allows the user to "fly" over the The expert system is installed in Meiji's Tokyo service two-thirds. With Domain Dynamics Ltd. (Windsor, England) has developed a PCbased the system, technical support neural network application to automate the recognition of data from the Currently available in days to solve with a text retrieval the form of two circuit boards, TESPAR (which stands for Time Encoded system now take just afew minutes. Signal Processing and Recognition) is capable of being converted to a single piece of silicon.