The researcher will be numerous international societies and IJCAI-01/IJCAI-03 Update. Planning required to sign a statement of restricted conferences. Barbara Grosz agreed to for IJCAI-01 is well under way.

There is a fundamental mismatch between the computational basis of spreadsheets and our knowledge of the real world. In spreadsheets, numeric data are represented as exact numbers and their mutual relations as functions, whose values (output) are computed from given argument values (input). However, in the real world, data are often inexact and uncertain in many ways, and the relationships, that is, constraints, between input and output are far more complicated. This article shows that interval constraint solving, an emerging AI-based technology, provides a more versatile and useful foundation for spreadsheets. The new computational basis is 100-percent downward compatible with the traditional spreadsheet paradigm. The idea has been successfully integrated with Microsoft excel as the add-in interval solver that seamlessly upgrades the arithmetic core of excel into interval constraint solving. The product has been downloaded by thousands of end users all over the world and has been used in various applications in business computing, engineering, education, and science. There is an intriguing chance for a major breakthrough of the AI technology on the spreadsheet platform: Tens of millions of excel users are making important decisions based on spreadsheet calculations.

I was asked to give a visionary talk about the future applications of Artificial Intelligence technology; but I should warn you that I'm actually not very good as a visionary. Most of my predictions about what will happen in the industry don't come true even though they ought to. So I'm not going to tell you what the future holds; what I will do is to point out some of the technological trends that are at work. The outline of the talk is as follows: I'll start off by looking at the previous IAAI conferences and reflect on what we've learned from them. Then I'll look at what's changing in the hardware base that sets the context for all the computer applications we do. I think that will lead to interesting new viewpoints. Next I'll sketch what applications might arise from this new viewpoint. Finally, I'll discuss how the development of practical applications ought to interact with the scientific enterprise of trying to understand intelligence, in particular, human intelligence.

Carnegie Mellon University and then continued investigating issues in representation and reasoning as part of his research career for the last decade and a half. However, the engineers, as is their wont, have their own take and emphasis many faces: Its philosophical progress, instigated by the focus on on AI issues. Teaching engineering and animals, and its mathematical list gives some idea about how students interested in AI, especially face to formulating and analyzing concerns with application bring advances when they are taking courses along classes of algorithms that appear to be in theory, as has happened earlier with computer science students, presents effective in providing computers with in mathematics and physics. Many academic researchers have the difference in background and interest. For several decades, there has found that AI often elicits greater interest Also, when ideas are presented been another face to the field, a technological from fellow academics in engineering somewhat abstractly, the engineering one that provides tools for departments--many computer students might need to do extra work solving practical problems in various science departments are housed in in seeing how they might be applied domains. AI It would thus be great if there interaction with AI.

The Innovative Applications of Artificial Intelligence Conference was held 18-22 July 1999 in Orlando, Florida. Ramasamy Uthurusamy was the Program Chair and Barbara Hayes-Roth was the Program Co-Chair. Although all the IAAI-99 papers and talks were certainly interesting and important, we present in this special issue of AI Magazine only a select subset because of page and other limitations. We include two invited talks and four applications as a snapshot of IAAI-99.

Finally, during knowledge refinement, the models are validated through simulation on paper or with prototyping, and the knowledge bases medicine, car troubleshooting, software are refined. The last of the book's authors domain-specific knowledge, and corrections or extensions to the products has been involved in this effort since standardizing the design and development of earlier ones. Thus, the book of expert systems then became The book is intended for practitioners is particularly interesting to those who the major research problems of the in knowledge management. The have been following their work. KADS methodology, as assets have become commonplace.

Based Search," by Peter Clark, John Thompson, Heather Holmback, and Lizbeth Duncan of the Boeing Co., demonstrated a concept-based search engine using an AI thesaurus with unambiguous control terms and relationships for ontology links for finding relevance when searching for human experts in the field.

The Fifth International Conference on Artificial Intelligence Planning and Scheduling (AIPS 2000) was held on 14-17 April 2000 at Breckenridge, Colorado; it was colocated with the Seventh International Conference on Principles of Knowledge Representation and Reasoning (KR2000). This conference brought together researchers working in all aspects of problems in planning, scheduling, planning and learning, and plan execution for dealing with complex problems.

Enabling organizations to capture, share, and apply the collective experience and know-how of their people is seen as fundamental to competing in the knowledge economy. As a result, there has been a wave of enthusiasm and activity centered on knowledge management. To make progress in this area, issues of technology, process, people, and content must be addressed. In this article, we develop a road map for knowledge management. It begins with an assessment of the current state of the practice, using examples drawn from our experience at Schlumberger. It then sketches the possible evolution of technology and practice over a 10-year period. Along the way, we highlight ways in which AI technology, present and future, can be applied in knowledge management systems.

In addition, to cope with conflicts caused by changes in actual operations, the airport authority also needs to make real-time problem-solving decisions on stand reassignments. the Hong Kong International Airport The stand-allocation system ( Figure world's busiest international airports in terms 1 is a snapshot of the The Although there were some initial hitches when system is installed and used in the Airport the new airport opened on 6 July 1998, operations Control Center (ACC), which is located in the quickly returned to normal within a control tower. Within a month, operational statistics management, and reactive scheduling capabilities surpassed those of the old airport--80 for stand management. The system supports percent of all flights were on time or within 15 concurrent use by multiple operators in minutes of schedule, all passengers cleared nonstop 24-hour-a-day operations because immigration within 15 minutes, and average HKIA is a 24-hour airport. Typically, a human operator must have several years of experience to acquire enough knowledge about airport operations before he/she can produce a "good" quality stand-assignment plan. Generating an allocation plan manually not only requires a highly experienced individual but is also very time consuming because it requires balancing many objectives against many possible alternatives.