In general, modeling is a complex and creative task, and building qualitative models is no exception. In this article, we review approaches to learning qualitative models, either from numeric data or qualitative observations. We illustrate this using applications associated with systems control, in particular, the identification and optimization of controllers and human operator's control skill. We also review approaches that learn models in terms of qualitative differential equations.

Program (July 28) is currently accepting nominations accessible to the general public or Tenth AAAI/SIGART Doctoral Consortium for AAAI Fellow. The AAAI Fellows to a broad AI audience (not just a subarea), (July 25-26) program is designed to written within the last two AAAI Intelligent Systems Demonstrations recognize people who have made significant, years.

The automotive industry was the first to promote the development of applications of model-based systems technology on a broad scale and, as a result, has produced some of the most advanced prototypes and products. In this article, we illustrate the features and benefits of model-based systems and qualitative modeling by prototypes and application systems that were developed in the automotive industry to support on-board diagnosis, design for diagnosability, and failure modes and effects analysis.

In reflect the overall tenor of the article; (3) although robotics, speech recognition, search, etc. - AI software a decade makes…. In April, Business Communication online and without charge, few things that helps engineers create better jet Company (BCC) will release a good last forever; and (4) the AI in the News engines. One variety, called a neural September 29, 2003 (www.koreaherald.co. "Will the day really come when'intelligent' Brokers Will Spend Big on Anti-Money detecting credit-card fraud. Since 1992, robots take over mundane household Laundering. Wall Street & neural nets have slashed such incidents chores and give people more leisure Technology. There is no definition yet of the andtech.com). But according to will spend almost $700 million in the small credit unions are required to use the the preliminary definition by the International next three years on antimoney-laundering software in order to qualify for debit-card Federation of Robotics, an industry technologies, according to a recent report insurance from Credit Union National Association."

Aided Design of User Interfaces. (ICKEDS 2004). "Halpern presents a masterful, complete and unified account of the many ways in which the connections between logic, probability theory and commonsensical linguistic terms can be formalized. 'believed,' 'known,' 'default,' 'relevant,' "Presents a novel thesis--that the mind is a'independent,' and'preferred' are given rigorous program whose components are semantically semantical and syntactical analyses, and their meaningful modules--and explores it with a rich interrelationships explicated and exemplified. An array of evidence drawn from a variety of fields.

This summer's AI conference in Acapulco offered attendees wide variety of program choices as well as ample time to catch up with friends and colleagues. For many, scheduling time was probably the biggest challenge because the conference included numerous invited speakers, 189 technical paper presentations, 93 posters, a Mobile Robot Competition, 19 Innovative Applications of AI (IAAI) award-winning paper presentations, a Trading Agents Competition, a special track on AI and the web, and the vendor exhibit.

The Fourth International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT-03) took place at the Stanford University Center for the Study of Language and Information in Stanford, California, on 23 to 25 June 2003. Like the previous conferences, CONTEXT-03 fulfilled its aim of bringing together representatives of many different research areas, spanning the whole range of the cognitive and information sciences, and with interests ranging from the use of context in specific, commercial applications to highly general philosophical, psychological, and logical theories.

Machines Who Think: A Personal Inquiry into the History and Prospect of Artificial Intelligence, Pamela McCorduck, San Francisco, California, Freeman, 1979, 375 pp., ISBN 0-7167-11135-4.

In general, modeling is a complex and creative task, and building qualitative models is no exception. One way of automating this task is by means of machine learning. Observed behaviors of a modeled system are used as examples for a learning algorithm that constructs a model that is consistent with the data. In this article, we review approaches to learning qualitative models, either from numeric data or qualitative observations. We describe the QUIN program that looks for qualitative patterns in numeric data and outputs the results of learning as "qualitative trees." We illustrate this using applications associated with systems control, in particular, the identification and optimization of controllers and human operator's control skill. We also review approaches that learn models in terms of qualitative differential equations.

Complex electro-mechanical products, such as high-end printers and photocopiers, are designed as families, with reusable modules put together in different manufacturable configurations, and the ability to add new modules in the field. The modules are controlled locally by software that must take into account the entire configuration. This poses two problems for the manufacturer. The first is how to make the overall control architecture adapt to, and use productively, the inclusion of particular modules. The second is to decide, at design time, whether a proposed module is a worthwhile addition to the system: will the resulting system perform enough better to outweigh the costs of including the module? This article indicates how the use of qualitative, constraint-based models provides support for solving both of these problems. This has become an accepted part of the practice of Xerox, and the control software is deployed in high-end Xerox printers.