Prairie Virtual Systems Corp. play the resulting changes. Control Ocean Surveillance Center (Chicago, Ill.) has developed a barrier-free Harvest Software Inc. (Sunnyvale, (San Diego, Cal.) is conducting sea trials design virtual reality system Cal.) has integrated a neural networkbased of a multi-beam acoustic signal detection that checks building access. The which helps designers meet the into its Harvest Operator software Navy is evaluating the neural network-based requirements of the American with system. Harvest Operator automates system's ability to operate Disabilities Act, assists in the design the entire process of receiving faxed in real time, and to detect and classify of interiors that are accessible and forms. The neural network adds intelligent acoustic signals.

These original contributions provide a current sampling of AI approaches to problems of with an analysis program for structural biological significance; they are the first to treat the computational needs of concrete design, and design sessions the biology community hand-in-hand with appropriate advances in artificial were performed to demonstrate intelligence. Focusing on novel technologies and approaches, rather than on how redundant analysis could be proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation avoided and examine different of biological systems. A brief introductory primer on molecular biology and aspects of the reasoning and propagation AI gives computer scientists sufficient background to understand much of the strategies provided. Interval biology discussed in the book.

Remember, these are only the winners. It is reducing customers' software (KBS) vendor were touted as a natural fit for AI I think It is interesting to note that other $200,000 in personnel costs; other not. I believe it is more a sign of the AI techniques, beyond traditional benefits include increased product (downsizing) times and the need for representation and reasoning, are sales from higher customer satisfaction increased visibility for the conference. In I saw many good signs at the conference systems. In particular are multiple addition, AT&T reports increases in that applied AI is alive and uses of fuzzy logic, case-based reasoning, the quality of work produced and job healthy.

Parole board date order received three different parole dates. On the changes, probation judgments, and new laws earliest of these parole dates, he would be eligible and sentencing guidelines enacted each year for release from prison to serve the remainder by the state legislature also affect sentence calculations. of his sentence in the community. Finally, Because offenders are often sentenced because of overcrowding in the prison, Doe under multiple laws, these changes can received a safety valve date, which is a fraction create a complex equation for judges and of his time to serve until parole.

The First International Workshop on Rough Sets: State of the Art and Perspectives was held on 2-4 September 1992 in Kiekrz, Poland. To stimulate the discussion, the participation was limited to 40 researchers who are involved in fundamental research in rough set theory and its extensions, logic for approximate reasoning, machine learning, knowledge representation and transfer, and applications of rough set methodology. The workshop focused primarily on applications of the basic idea of the approximate definition of a set and its consequences in other areas of science and engineering. Applications discussed at the workshop included machine learning, medical diagnosis, fault detection, medical image processing, neural net training, database organization, drug research, and digital circuit design.

We have expanded review criteria for the technical program, effectively increasing the number of ways in which a submitted paper can qualify for acceptance. Most importantly, we have revised the review procedure to encourage acceptance of a larger number and broader range of papers, as discussed below.

The Association for the Advancement of Artificial Intelligence (AAAI) held its 1993 Spring Symposium Series on March 23-25 at Stanford University. This article contains summaries of the eight symposia that were conducted: AI and Creativity, AI and NP-Hard Problems, Building Lexicons for Machine Translation, Case-Based Reasoning and Information Retrieval, Foundations of Automatic Planning, Innovative Applications of Massive Parallelism, Reasoning about Mental States, and Training Issues in Incremental Learning. Technical reports of the symposia AI and Creativity, Building Lexicons for Machine Translation, Case-Based Reasoning and Information Retrieval, Foundations of Automatic Planning, Innovative Applications of Massive Parallelism, Reasoning about Mental States, and Training Issues in Incremental Learning are available from AAAI.

In 1991, Ford Motor Company began deployment of CAPE (computer-aided parts estimating system), a highly advanced knowledge-based system designed to generate, evaluate, and cost automotive part manufacturing plans. cape is engineered on an innovative, extensible, declarative process-planning and estimating knowledge representation language, which underpins the cape kernel architecture. Many manufacturing processes have been modeled to date, but eventually every significant process in motor vehicle construction will be included. Significant cost reductions are among the many benefits CAPE brings to Ford. CAPE is a highly significant system for Ford of Europe in terms of the business needs it satisfies and the corporate acceptance of AI applications: First, CAPE represents a major investment, with significant person-years of effort spent on predeployment development alone. Second, CAPE is the first large-scale production expert system to be deployed within Ford of Europe. Third, cost estimating is a critical business function. With a total annual materials budget of several billion dollars, cost control is at the heart of Ford's business. Fourth, reducing the lead time for new model programs provides a key competitive advantage. CAPE reduces estimating response time by 50 percent. Fifth, this system is enormously ambitious. The final system will capture the combined knowledge of estimating experts in all areas of automotive manufacture.

Advances in Real-Time Expert System Technologies

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.