Chevron Canada is decentralizing its computer environment from mainframes to PCs e Emission Reduction Research mounted infantry virtual environment) and Sun workstations. The DIVE belt provides the Chevron oil exploration crews will be N.J.) has developed the Batch Design ability to operate inside a virtual environment able to retrieve various types of well Kit, an expert system for optimizing without becoming tangled batch processes and minimizing pollution. Funded by the U.S. The system will help eliminate Army, the DIVE project is designed to ADVANTA Mortgage (San Diego, avoidable pollution and save pharmaceutical allow soldiers to operate within a virtual Cal.) has signed a license agreement and chemical manufacturers battlefield. VR is being used to demonstrate used as the focal point of exhibition fire engineering principles such The Santa Fe Institute (Santa Fe, stands designed by Photosound for as means of escape theory, fire modeling, N.M.) has won an ARPA grant of such pharmaceutical firms as Smith-human behavior, and spatial $323,000 for research on complex Kline Beecham. The system will be designed advanced computin arena.

The Association for the Advancement of Artificial Intelligence (AAAI) held its 1994 Spring Symposium Series on 19-23 March at Stanford University, Stanford, California. This article contains summaries of 10 of the 11 symposia that were conducted: Applications of Computer Vision in Medical Image Processing; AI in Medicine: Interpreting Clinical Data; Believable Agents; Computational Organization Design; Decision-Theoretic Planning; Detecting and Resolving Errors in Manufacturing Systems; Goal-Driven Learning; Intelligent Multimedia, Multimodal Systems; Software Agents; and Toward Physical Interaction and Manipulation. Papers of most of the symposia are available as technical reports from AAAI.

Over 60 researchers from 10 countries took part in the Third Knowledge Discovery in Databases (KDD) Workshop, held during the Eleventh National Conference on Artificial Intelligence in Washington, D.C. A major trend evident at the workshop was the transition to applications in the core KDD area of discovery of relatively simple patterns in relational databases; the most successful applications are appearing in the areas of greatest need, where the databases are so large that manual analysis is impossible. Progress has been facilitated by the availability of commercial KDD tools for both generic discovery and domain-specific applications such as marketing. At the same time, progress has been slowed by problems such as lack of statistical rigor, overabundance of patterns, and poor integration. Besides applications, the main themes of this workshop were (1) the discovery of dependencies and models and (2) integrated and interactive KDD systems.

These software between telephone, television, agents are on their way, and they're going to The be getting a lot of things accomplished by basic idea is that the networks that constitute interacting with each other. The question is, our telephone infrastructure, our television How will these agents be cooperating with (particularly cable) infrastructure, and our each other, competing with each other, and computer infrastructure will be coalescing into negotiating with each other? Now, the agents that we are interested in Another example is routing among looking at are heterogeneous, self-motivated telecommunication networks. The systems are not assumed to be packets, can pass over a network controlled by centrally designed. For example, if you have a one company onto another network controlled personal digital assistant, you might have one by another company, or it can pass that was built by IBM, but the next person through one country on through another. Computers that control a telecommunications They don't necessarily have a notion of global network might find it beneficial to enter into utility. Each personal digital assistant or agreements with other computers that control each agent operating from your machine is other networks about routing packets more interested in what your idea of utility is and efficiently from source to destination. The in how to further your notion of goodness. We're other agents ask them to do unless they have Another example is the proliferation of shared databases, where there's information They have sprung up with a vengeance in the last decade.

(Stankovic and Ramamithram 1990). Such systems are considered intelligent switching that is used in the railway stations when they are able to perform complex of three European countries. Parts of the control actions in response to the sensed environment. Time is a valuable resource that is lost when Years ago, a request came from the railway the system must reason about actions before authorities for a system that could guarantee performing them. This requirement is understandable on two levels: the problem-space level because in typical real-time systems, and the knowledge base level (Tambe and scheduling is mostly based on worstcase Newell 1988). With the problem-space level, execution times of the tasks involved. Usually, a sequence of steps is required the railway authorities.

Several factors Chapter 2 describes a small fragment Chapters 8, 9, and 10 describe have led to the increase in interest in of probability and information recent research on more isolated this field, which is heavily influenced theory, including brief coverage of aspects of parsing and language analysis.

In Greed in the Quest for Machines That the first wave of AI businesses were addition, when expert systems began Think, Harvey P. Newquist, Sams Publishing, researchers, sneering dominates over to be written in The author's aversion to places away they could implement their applications from the executive suite distorts the in house at a lower cost. Gold Hill, and other took root as an academic companies founded by Ed Feigenbaum. Inc., marketing a symbolic mathematics because pioneering companies making who covered the field during the small assembly robots and industrial program that was once a 1980s when academic researchers vision systems failed just as the robots minor product. Teknowledge was went commercial in one of the 1980's became essential to manufacturing reduced to a small division. Alan Newell's world-leading of traditional companies now use AI begins with a history spanning Babbage but unmarketed reasoning program techniques in house for such things to Turing to Minsky, McCarthy, research at Carnegie Mellon University, as geological exploration, financial Newell, Simon, Samuel, and others at conducted vigorously through the decision making, medical advice, factory the 1956 Dartmouth meeting and 1980s, is dismissed.

This article describes a new system for induction of oblique decision trees. This system, OC1, combines deterministic hill-climbing with two forms of randomization to find a good oblique split (in the form of a hyperplane) at each node of a decision tree. Oblique decision tree methods are tuned especially for domains in which the attributes are numeric, although they can be adapted to symbolic or mixed symbolic/numeric attributes. We present extensive empirical studies, using both real and artificial data, that analyze OC1's ability to construct oblique trees that are smaller and more accurate than their axis-parallel counterparts. We also examine the benefits of randomization for the construction of oblique decision trees.

Information extraction is the task of automaticallypicking up information of interest from an unconstrained text. Informationof interest is usually extracted in two steps. First, sentence level processing locates relevant pieces of information scatteredthroughout the text; second, discourse processing merges coreferential information to generate the output. In the first step, pieces of information are locally identified without recognizing any relationships among them. A key word search or simple patternsearch can achieve this purpose. The second step requires deeperknowledge in order to understand relationships among separately identified pieces of information. Previous information extraction systems focused on the first step, partly because they were not required to link up each piece of information with other pieces. To link the extracted pieces of information and map them onto a structuredoutput format, complex discourse processing is essential. This paperreports on a Japanese information extraction system that merges information using a pattern matcher and discourse processor. Evaluationresults show a high level of system performance which approaches human performance.

Southwest Research Institute and the U.S. Air Force Materiel Command designed and developed an automated system for the preparation of deficiency report analysis information reports (DRAIRs). A DRAIR provides Air Force engineers with an analysis of an aircraft item's performance history, including maintenance, supply, and cost. A DRAIR also recommends improvements for a deficient materiel or aircraft part. The successful design, development, and deployment of the DRAIR ADVISER system by applying a combination of knowledge-based system and database management techniques are the subject of this article.