Subcontracted by British Aerospace, AIAI were involved in part of a larger project for EUMETSAT, the European agency responsible for meteorological satellites. Our role was helping in the specification and prototyping of the scheduling component. After an initial feasibility study it was decided to prototype the system using PECOS, an object-oriented constraint programming tool. This approach allowed rapid development while retaining the flexibility to make changes as the problem specification evolved. A typical problem that the EUMETSAT scheduler has to deal with consists of some 1300 activities over a 14 day period. Activities to be scheduled include regular fixed activities (e.g.

The Knowledge-based approach allowed the system to be implemented as three separate modules: inference engine, knowledge base, and user interface. Initially required to run under MS-DOS on a PC AT equivalent with 640K of RAM, a second release to run under Windows 3.1 reused the inference engine and knowledge base, requiring only a revised user interface. Enhancements made to the inference engine and the knowledge base were immediately available to both environments.

The National Information Infrastructure (NII) will have profound effects on the lives of every citizen. It promises to deliver to people in their homes and offices a vast array of information in many forms, changing the ways in which business is conducted, offering new educational opportunities, bringing geographically dispersed library resources and entertainment materials to everyone's doorstep. It will connect people to people, and help them with their jobs and tasks. For the NII to be useful, however, people will need easy and efficient access to its resources. Today's computers are complex and difficult to use, even for experts. The NII will be orders of magnitude more complex than current systems; it could easily become a labyrinth of databases and services that is inconvenient for experts and inaccessible to many Americans. The field of artificial intelligence (AI) can play a pivotal role in meeting major challenges of the NII. AI uses the theoretical and experimental tools of ...

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It is important to divide the overall understanding process into manageable pieces.

This course presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications. The advantages and disadvantages of using these methods in real-world systems are emphasized, while students gain hands-on experience with application specific methods. The technical focus of the course includes decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks), and techniques to evaluate the performance of such systems.

Researchers in Indiana University's Knowledge Acquisition and Projection Lab -- part of Pervasive Technology Labs -- along with computer scientists from the IU School of Informatics, have completed a project for the U.S. Navy in which they developed key components of the Navy's maintenance Knowledge Projection System. This project, a three-year joint undertaking with Crane Naval Surface Warfare Division and Purdue University, was aimed at developing next-generation diagnostics and maintenance capabilities for shipboard systems. "The need for tele-maintenance and distance support technologies for today's battleships, aircraft carriers and submarines is compelling," said Donald F. (Rick) McMullen, director of the Knowledge Acquisition and Projection Lab (KAPLab). McMullen, along with IU Professor of Computer Science David Leake, served as principal investigator for the KPS project. "The current generation of naval vessels is more complex than ever, and correcting problems with shipboard systems is frequently a team effort involving both ship- and shore-based personnel. In the current environment, distance support is critical to maintaining operational preparedness," McMullen said.

Robert Engelmore, a computer scientist and artificial intelligence pioneer, died March 25 during a family vacation in Kauai. He was a former executive director of the Knowledge Systems Laboratory who applied expert systems technology in scientific, industrial and military domains. Engelmore, 68, had been swimming in a rock-rimmed shoreline pool with his 5-year-old grandson, Jack, when they and other swimmers were overwhelmed by giant waves. Engelmore helped lift the child to safety but was pulled out to sea by currents. By the time lifeguards reached him, his heart had stopped beating.

FuzzyCLIPS is a fuzzy logic extension of the CLIPS (C Language Integrated Production System) expert system shell from NASA. It was developed by the Integrated Reasoning Group of the Institute for Information Technology of the National Research Council of Canada and has been widely distributed for a number of years. It enhances CLIPS by providing a fuzzy reasoning capability that is fully integrated with CLIPS facts and inference engine allowing one to represent and manipulate fuzzy facts and rules. FuzzyCLIPS can deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms to be freely mixed in the rules and facts of an expert system. The system uses two basic inexact concepts, fuzziness and uncertainty. It has provided a useful environment for developing fuzzy applications but it does require significant effort to update and maintain as new versions of CLIPS are released.

Our expert system software provides a list and clinical description of the most likely conditions based on an analysis of your particular symptoms. EasyDiagnosis focuses on the most common medical complaints that account for the majority of physician visits and hospitalizations. You get unlimited access to all modules for just $5! Privacy policy Why buy access? Privacy policy Why buy access?