From goodman@cs.brandeis.edu Tue Dec 21 17:53:14 EST 1993 Article: 19997 of comp.ai Xref: glinda.oz.cs.cmu.edu comp.ai:19997 comp.ai.edu:1505 comp.ai.neural-nets:14007 Newsgroups: comp.ai,comp.ai.edu,comp.ai.neural-nets Path: honeydew.srv.cs.cmu.edu!fs7.ece.cmu.edu!europa.eng.gtefsd.com!howland.reston.ans.net!noc.near.net!news.cs.brandeis.edu!goodman From: goodman@cs.brandeis.edu (Marc Goodman) Subject: CAIA-94: Tenth IEEE Conference on AI for Applications Message-ID: Sender: news@news.cs.brandeis.edu (USENET News System) Organization: Brandeis University Date: Sat, 18 Dec 1993 17:12:35 GMT Lines: 728 PRELIMINARY CONFERENCE ANNOUNCEMENT CAIA '94 Advance Program The Tenth IEEE Conference on Artificial Intelligence for Applications March 1-4, 1994 Marriott Riverwalk San Antonio, Texas CONFERENCE OVERVIEW For nine consecutive years, the IEEE Computer Society's Conference on Artificial Intelligence for Applications has provided an international forum for the exchange of ideas, techniques, and experiences in the application of AI to real-world problems. During this time, CAIA has established itself as a key conference for business and technical people who want to keep up on the fast-changing word of commercial AI. This year, the ninth annual CAIA will continue that tradition by providing a provocative mix of introductory, intermediate and advanced talks, tutorials, workshops, and panels. In addition, CAIA '94 has strived for a new balance between information of interest to AI researchers and information of interest to business and commercial people. An emerging theme of AI and information systems, including the Internet, reflects this balance. CAIA '94 starts with a full day of workshops and tutorials. The three workshops range from intelligent access to digital libraries, to business process re-engineering, to coordinated design, and will provide a forum for intense communication between researchers and practitioners. The six half-day tutorials will provide succinct but detailed introductions into a variety of AI-related techniques and applications. CAIA '94 continues with three days of technical sessions. Each day starts with one of the following plenary addresses: Shall We Reinvent AI and its Applications? Edward A. Feigenbaum, Stanford University Digital Libraries: Why People use Tools, not AI Ed Fox, Virginia Polytech Angels, Pinheads, and AI Technology Infusion Dr. Melvin Montemerlo, Program Manager for Automation, NASA Headquarters After each plenary address are technical sessions in three tracks: two paper tracks and a panel track. These tracks are designed to be complementary and to appeal to people with different backgrounds. The panels include such topics as "Smart Computers in Space", "AI and Business Applications", and "Intelligent User Interfaces". Finally, CAIA '94 will include many opportunities for informal discussion, including numerous breaks, a banquet and a reception with poster viewing. --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- CAIA-94 WORKSHOP PROGRAM MARCH 1, 1994 WORKSHOP 1: TECHNOLOGIES FOR BUSINESS PROCESS RE-ENGINEERING The increase in competition, customer awareness, and ever changing business climate coupled with the failure of short-gap solutions (e.g., restructuring/downsizing, diversification, portfolio management, LBO, etc.) has forced many corporations to redesign business process in a fundamentally new way. A business process consists of all activities and agents required from the conceptualization of a product to its delivery to customers and subsequent support. The task of re-engineering is to design the activities themselves and thereby redesign the relationship between the activities and the agents. Information technologies play a central role in the design and implementation of re-engineering solutions. This workshop will bring together leaders, researchers, and developers engaged in designing and delivering re-engineering solutions and share challenges faced and lessons learned. Contact: D.D. Sharma, 3N750FF, Pacific Bell, San Ramon, CA 95583, 510- 867-2954, dxsharm@pacbell.com WORKSHOP 2: INTELLIGENT ACCESS TO ON-LINE DIGITAL LIBRARIES The rate of information production in our global society is taking place thousands of times faster than our population growth. The linkages of high speed networks, fiberized telephone lines, and large capacity information bases will create digital libraries which is expected to provide many kinds of information. Such information reservoirs when connected to many others have the potential of giving birth to a global information repository. Due to their widely distributed, and diversified clientele, these emerging libraries will require intelligent management of information. The purpose of this workshop is to focus on how intelligent browsing, intelligent data management, and intelligent presentation systems will facilitate the operation of robust, mass- scale, and large capacity digital libraries. Contact: Zahed Ahmed, San Diego Supercomputer Center, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093, 619- 534-5105, ahmed@cassatt.sdsc.edu WORKSHOP 3: COORDINATED DESIGN AND PLANNING Many proposals for functionality are being made in the domains of Enterprise Integration (EI) and Concurrent Engineering (CE). At the same time many research claims are being made for distributed agent-based technologies that should apply to these domains. Yet the problem and solution spaces are as yet ill-defined. In this workshop, participants will apply their technologies to a simple problem: distributed meeting scheduling. We believe that this problem is simple enough to permit analysis of the problem and solution spaces, yet complex enough to expose gaps in technologies needed for EI and CE. The best papers from this workshop and a similar one are to be included in a planned book on this subject. Contact: Charles Petrie, Center for Design Research, Stanford University, Bldg. 560, Panama Street, Stanford, CA 94305-2232, 415- 725-0162, petrie@sunrise.stanford.edu --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- CAIA-94 TUTORIAL PROGRAM MARCH 1, 1994 Tuesday, March 1, 1994, 8:30 - 12:00 noon TUTORIAL 1: SYMBOLIC AND NEURAL-NETWORK APPROACHES TO MACHINE LEARNING Haym Hirsh, Rutgers University This tutorial will survey symbolic and neural-network approaches to machine learning. It will provide an overview of the major topics in the area, and give detailed descriptions of some of the better-known algorithms (e.g., decision-tree methods, perceptrons, backpropagation), presenting them in a single, unified light that highlights their commonalities and relative strengths and weaknesses. After attending the tutorial, participants should understand how to use these methods for their own problems, and be able to understand the main problems, goals, and methods being addressed by researchers today. Further, people already familiar with work in either area will learn about work in the other area and see both areas in a more uniform light. TUTORIAL 2: TRANSFORMING ORGANIZATIONS WITH ADVANCED COMPUTING David Bailey, Bailey Consulting Advanced computing offers organizations an unprecedented opportunity to leverage the use of information technology to solve complex business problems. Many view it to be a key to competitive advantage and process innovation. In order to be effective, advanced computing needs to be applied as part of a visionary information strategy that directly supports and enables the business strategy. This tutorial discusses the state of the software industry and the opportunities provided by advanced computing. It then summaries key advanced computing techniques, characterizing their capabilities, costs, and benefits. Next, a practical problem-driven approach to applying advanced computing within organizations is described. Practical considerations and case studies are then discussed, and the tutorial concludes with a summary of key points. TUTORIAL 3: KNOWLEDGE BASE MANAGEMENT AND ITS APPLICATION Igor Jurisica and Huaiquing Wang, Department of Computer Science, University of Toronto Knowledge based systems are now routinely used in thousands of "real world" applications. Most such applications involve relatively small knowledge bases, containing hundreds rather than thousands of units (object, rules, frames). Developing the next generation of knowledge based systems will require a technology for building, accessing, and managing very large knowledge bases, with potentially millions of units. Knowledge base management requires new techniques, including efficient implementations of inference mechanisms (terminological subsumption, deduction, induction and abduction), and new tools for knowledge acquisition, knowledge base validation, verification, and maintenance, as well as new architectures that accommodate a multi-user, distributed environment. This tutorial will provide a comprehensive review of the state-of-the-art in knowledge base management techniques and commercial tools, as well as recent research results and on-going projects. All of these will be presented from the application point of view and the actual development process of knowledge based applications will be stressed. March 1, 1994, 1:30 - 5:00 pm TUTORIAL 4: PROBABILISTIC REASONING John Lemmer, CTA Incorporated Increasingly applied AI has had to come to grips with the uncertainties inherent in most knowledge applicable to real domains. The focus of this tutorial is how Probabilistic Reasoning fits into applied AI. First, Probability will be brought into sharp focus against a background of applications by considering it a generalization of "if...then" rules of Expert Systems, and compared to Fuzzy Sets, Possibility Logic, Conditional Logic, and Dempster-Shafer Theory, the other principal alternatives to Probability for quantitative management of uncertainty. The comparisons are based not on "good/bad?, but on "different". Then, a number of choices withing Probability are explained and compared, including Bayes Nets, Triangulated Nets, Influence Diagrams, and Causal Models. These choices are discussed in sufficient detail to reveal their different uses and their different implementation strategies. TUTORIAL 5: PUTTING EXPERT SYSTEMS/DBMSs COOPERATION INTO PRACTICE Chihab Hanachi, University Toulouse 1 In many application domains the actual and efficient use of expert systems relies on the proper use of data. Also, expert systems handle large populations of facts, so that accessing and managing the underlying data becomes a complex activity, as important as reasoning itself. It is then essential to use Data Base Management Systems (DBMSs) to guarantee efficient access to the data and appropriate data management (including data coherence, data sharing, and data distribution). This tutorial will help the attendee in the tasks of implementing ES/DBMS integration, in particular with identifying the role of each component, choosing a software architecture, specifying the mechanisms of ES/DBMS communication, and understanding ES/DBMS communication and reasoning efficiency. TUTORIAL 6: PRINCIPLES AND PRACTICE OF KNOWLEDGE ACQUISITION Angel R. Puerta, Stanford University, and Henrik Eriksson, Linkoping University This tutorial will develop a comprehensive view of the most important principles and practical issues in knowledge acquisition. We will present the theoretical foundations of knowledge acquisition to establish a framework in which the attendee can understand and analyze how the theories are put into practice. We will concentrate on illustrating problems with computer-based knowledge-acquiistion tools, covering examples from early expert systems to the new generation of knowledge-based systems based on reusable knowledge components. Throughout the tutorial, we will emphasize the particular issues, such as human-computer interaction, that affect the design and development of knowledge acquistion tools, and will address the specific tradeoffs created by conflicting design requirements. After the tutorial, the attendee should have a good understanding of the principles and design tradeoffs involved in the construction of knowledge-acquisition tools, a solid background on existing tools, and a clear grasp of the research issues that affect knowledge acquisition. TUTORIAL LECTURER BIOGRAPHIES David Bailey, 7769 Ohio Northern Drive, Lancaster, OH 43130, 614-833- 4127. Mr. Bailey has more than six years of experience of consulting, development, and management experience in advanced computer systems. His background includes the design and development of integrated artificial intelligence applications, project management, tutorial and seminar development and presentation, marketing and sales, and business information problems with a practical mix of advanced and conventional information technology. Henrik Eriksson, Department of Computer and Information Science, Linkoping University, S-581 83 Linkoping, Sweden, her@ida.liu.se. Dr. Eriksson is an assistant professor in Computer Science at the Department of Computer and Information Science, Linkoping University. He received his Ph.D. in Computer Science from Linkoping University in 1991. His dissertation and current work is concerned with computer-based tool support for knowledge acquisition. He is presently a visiting scholar at the Knowledge Systems Laboratory, Stanford University. Chihab Hanachi, University Toulouse 1, Place Anatole France, 31042 Toulouse Cedex, France, 33-61-63-35-60, hanachi@cix.cict.fr. Dr. Hanachi is an Associated Professor at the University of Toulouse I in France, and received his PhD in Computer Science from the University of Toulouse III. He has worked in the area of cooperation between expert systems and database management systems for five years and has published many papers in this area. Haym Hirsh, Computer Science Department, Hill Center for the Mathematical Sciences, Rutgers University, New Brunswick, NJ 08903, 908-932-4176, hirsh@cs.rutgers.edu. Dr. Hirsh's is Assistant Professor of Computer Science at Rutgers University, where he conducts research and teaches courses in artificial intelligence and machine learning. His graduate research at Stanford, from which he received his MS and PhD degrees, was in machine learning, and his current research includes applications of machine learning in molecular biology and in yacht design. Igor Jurisica, Department of Computer Science, University of Toronto, 10 King's College Road, Toronto, Ontario, M5S1A4, Canada, 416-978-7589, juris@ai.utoronto.ca. Mr. Jurisica is a member of the knowledge base management group at Toronto, a five-year effort in functionality and performance issues for knowledge base management headed by Dr. John Mylopolous. His thesis work is on the representation and management issues for case-based reasoning systems. John Lemmer, Rome Laboratory/C3CA, 525 Brooks Road, Griffiss AFB, NY, 13441, 315-330-3665, lemmer@ai.rl.af.mil. Dr. Lemmer received his PhD from the University of Maryland in 1976 and is a Senior Scientist at CTA Incorporated. He has been the principal investigator for a number of multi-million dollar R&D contracts, including AFES (Automated Feature Extractions Systems), MRS3 (the predecessor to JSTARS), and DATA (Decision Aids for Target Aggregation), some of which involved embedded expert systems, probabilistic reasoning, and causal modelling. Angel R. Puerta, Knowledge Systems Laboratory, Medical Computer Science Group, Stanford University, MSOB X215, Stanford, CA 94305, Pueta@camis.stanford.edu. Dr. Puerta is a Research Scientist at the Knowledge Systems Laboratory, Stanford University. He received his Ph.D. in Computer Science from the University of South Carolina in 1990. His dissertation topic and current research interests include knowledge acquisition, intelligent interfaces, and the construction of knowledge- based systems from reusable knowledge components. Huaiquing Wang, Department of Computer Science, University of Toronto, 10 King's College Road, Toronto, Ontario, M5S1A4, Canada, 416-987-7330, wang@ai.utoronto.ca. Dr. Wang received his PhD in artificial intelligence and computer vision from the University of Manchester and has been a research scientist in the AI group at Toronto since 1988. His current research interests include the application of knowledge-based and database systems, object-oriented cooperative environments, knowledge sharing, and integration of these systems. --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- CAIA-94 TECHNICAL PROGRAM MARCH 2-4, 1994 WEDNESDAY, MARCH 2, 1994 8:30 - 8:45 AM CAIA '94 WELCOME ADDRESS Dan O'Leary, University of Southern California 8:45 - 10:00 INVITED PLENARY TALK: Title to Be Announced, Dr. Ed Feigenbaum, Knowledge Systems Laboratory, Stanford University, Palo Alto, Ca. 10:00 - 10:30 am Break 10:30 - 12:00 noon Concurrent Sessions PAPER SESSION: CAD/VLSI APPLICATIONS Session Chair: TBA On the Solution of Layout Problems in Multiagent Systems: A Preliminary Report, Johannes Stein, Daimler-Benz AG, Germany CASTOR: an Expert Advisor for Testability Enhancement of VLSI Systems, Patrizia Cavalloro, ITALTEL SIT, ITALY An Intelligent Control Shell for CAD Tools, Satoru Fujita, NEC Corporation, Japan Heuristic Classification of Cells in Logic Electronic Specifications, Salvador Mir, INPG/TIMA, France PAPER SESSION: SCHEDULING Session Chair: TBA AUTO-MPS: An Automated Master Production Scheduling System For Large Volume Manufacturing, R. Greg Arbon, Covia Technologies Learning Control Knowledge through Cases in Schedule Optimization Problems, Kazuo Miyashita, Matsushita Electric Industrial Co. Ltd. On the Design of an Adaptive Meeting Scheduler, Sandip Sen, University Tulsa Distributed, Knowledge-based, Reactive Scheduling of Transporation Tasks, Jorg Muller, DFKI, Germany PANEL SESSION: Modelling Financial Markets with Neural Nets and Other Non-Linear Techniques Chair: Ganesh Mani, LBS Capital Management, Inc. 12:00 noon - 1:30 pm Lunch 1:30 - 3:00 pm Concurrent Sessions PAPER SESSION: CASE-BASED APPLICATION Session Chair: TBA Inductive Learning of Prototype-Selection Rules for Case-Based Iterative Design, Mark Schwabacher, Rutgers University A Case-Based Design Aid for Conceptual Design of Aircraft Subsystems, Eric A. Domeshek, Georgia Institute of Technology Spatial Design of Complex Artifacts Using Cases, Ian F. C.Smith, Federal Institute of Technology, Switzerlanda Automated Schema Selection in Software Synthesis, Michael Hewett, University of Texas at Austin PAPER SESSION: NEURAL NETS AND MACHINE LEARNING Session Chair: TBA Modeling the Behavior of the S&P 500 Index: A Neural Network Approach, Mary Malliaris, Loyola University of Chicago Neural Network based Multisensor Multitarget Tracking, V. Schmidlin, University of Nice, France Using Machine Learning to Monitor Network Performance, Raguram Sasisekharain, AT&T Bell Laboratories, EEL: An Information Theoretic Similarity-based Learning Method in Databases, Changhwan Lee, University of Connecticut PANEL SESSION: AI AND BUSINESS Chair: Dan O'Leary, University of Southern California 3:00 - 3:30 pm Break 3:30 - 5:00 pm Concurrent Sessions PAPER SESSION: OFFICE APPLICATIONS Session Chair: TBA Learning Contextual Rules for Document Understanding, Donato Malerba, Universita degli Studi Interactive Constraint Satisfaction for Office Systems, Megumi Ishii, NTT Network Information Systems Laboratories Intelligent Validation and Routing of Electronic Forms in a Distributed Environment, Michael M. Compton, Recom Technologies, Inc. PAPER SESSION: DIVERSE TECHNIQUES AND APPLICATIONS Session Chair: TBA Predictive Analysis System: A Case Study of AI Techniques for Counternarcotics, William Brooks, SRA Corporation Using Hybrid Knowledge Bases for Missile Siting Problems, John R. Benton, U. S. Army Topographic Engineering Center Integrating Case-Based Reasoning, Knowledge-Based Approach and Dijkstra Algorithm for Route Finding, Bing Liu, National University of Singapore From System Requirements to Appropriate Knowledge Representations: A Case Study, Markus Stolze, University of Colorado at Boulder PANEL SESSION: Integrating AI Techniques and Applications: Case Studies, Issues, and Methods Chair: Louis Hoebel, Rome Laboratory, USAF 6:30 - 8:00 Banquet --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- THURSDAY, MARCH 3, 1994 8:45 - 10:00 am Invited Plenary Talk: Artificial Intelligence Research and Applications at NASA, Dr. Melvin Montemerlo, Program Manager for Automation and Robotics, NASA Headquarters 10:00 - 10:30 am break 10:30 - 12:00 noon Concurrent Sessions PAPER SESSION: MEDICAL APPLICATIONS Session Chair: TBA Automatic Computation of Genetic Risk, Dhiraj K. Pathak, Carnegie Mellon University Roentgen: Radiation Therapy and Case-based Reasoning, Jeffrey Berger, University of Chicago A Study of an Expert System for Interpreting Human Walking Disorders, Tom Bylander, The University of Texas at San Antonio OaSiS: Integrating Safety Reasoning for Decision Support in Oncology, Peter Hammond, Imperial Cancer Research Fund, London, England PAPER SESSION: NATURAL LANGUAGE Session Chair: TBA A Tool for the Acquisition of Japanese-English Translation Rules Using Inductive Machine Learning Techniques, Hussein Almuallim, NTT Network Information Systems Laboratories Memory-based Parsing with Parallel Marker-Passing, Minhwa Chun, University of Southern California Application of Explanation-based Learning for Efficient Processing of Constraint-based Grammars, Gunter Neumann, Stuhlsatzenhausweg, Germany Learning Natural Language Filtering Under Noisy Conditions, Stefan Wermter, University of Hamburg PANEL SESSION: AI AND MANUFACTURING Chair: Oliver Vadas, Canadian Pulp and Paper Institute 12:00 noon - 1:30 pm Lunch 1:30 - 3:00 pm Concurrent Sessions PAPER SESSION: MANUFACTURING AND MODELLING Session Chair: TBA Generating Programs from Connections of Physical Models, Gordon S. Novak Jr., University of Texas at Austin A Blackboard Approach to the Integration of Crankshaft Analysis Applications, Daniel J. Fagan, Ford Research Laboratory Qualitative Spatial Reasoning about Objects in Motion: Applications to Physics Problem Solving, Raman Rajagopalan, University of Texas at Austin Target Design: A Method for an Accurate Pose Determination, Agus Harjoko, University of New Brunswick PAPER SESSION: EXPLANATION Session Chair: TBA A Cooperative Model for Interactive Plan Explanation, Susan M. Haller, State University of New York at Buffalo Model-based Explanation of Specifications for Sequence Control, Satoshi Ito, Toshiba Corporation Automatic Generation of Explanations for Spreadsheet Applications, Daniele Nardi, Universita di Roma MeteoAssert: Generation and Organization of Assertions from Gridded Data, Stephan Kerpedjiev, NOAA/ERL/FSL PANEL SESSION: SMART COMPUTERS FOR SPACE Chair: Carol Redfield, Southwest Research Institute 3:00 - 3:30 pm Break 3:30 - 5:00 Concurrent Sessions PAPER SESSION: DIVERSE APPLICATIONS AND TECHNIQUES Session Chair: TBA Redesign of Local Area Networks Using Similarity-based Adaptation, Michael Weiss, Universitat Mannheim, Germany Genetic Algorithms for Partitioning Air Space, Jean-Loup Farges, Centre d'Eteudes et de Recherche de Toulouse, France, EAGOL: An Artificial Intelligence System for Process Monitoring, Situation Assessment and Response Planning, Harry E. Pople, Seer Systems, Inc., An Application of Belief Networks to Future Crop Production Dr. Yiqun Gu, Scottish Crop Research Institute PAPER SESSION: EXPERT SYSTEMS Session Chair: TBA Concept Formation using ITERATE: Building Rule Models for Efficient Reasoning, Gautam Biswas, Vanderbilt University A Neural Network Expert System Shell, Tong-Seng Quah, National University of Singapore Optimization of Rule-Based Expert Systems Via State Transition System Construction, Albert Mo Kim Cheng, University of Houston Dependency Analysis for Knowledge Validation in Rule-based Expert Systems, Chih-Hung Wu, National Sun Yat-Sen University, Taiwan PANEL SESSION: MACHINE AND MACHINE-ASSISTED TRANSLATION Chair: Phil Hayes, Carnegie Group 6:30 - 8:00 - Reception and Poster Viewing --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- FRIDAY, MARCH 4, 1994 8:45 - 10:00 AM INVITED PLENARY TALK: DIGITAL LIBRARIES: WHY PEOPLE USE TOOLS, NOT ARTIFICIAL INTELLIGENCE Ed Fox, Virginia Polytechnic Institute 10:00 - 10:30 Break 10:30 am - 12:00 noon Concurrent Sessions PAPER SESSION: BIOLOGY APPLICATIONS Session Chair: TBA Integration of Multiple Knowledge Sources in an Brain CT-scans Interpretation System, Hongyi Li, Free University of Brussels Using Machine Learning and Expert Systems to Predict Preterm Delivery in Pregnant Women, Michele M. Van Dyne, IntelliDyne, Inc. Using Background Knowledge to Improve Inductive Learning of DNA Sequences, Haym Hirsh, Rutgers University Automatic Classification of Planctonic Foraminifera by a Knowledge- Based System, Shan Liu, INRIA-Sophia Antipolis, France PAPER SESSION: ENABLING TECHNOLOGIES Session Chair: TBA Using Causal Reasoning to Validate Stochastic Models, Arun Chandra, University of Austin at Texas COCOS - A Tool for Constraint-Based, Dynamic Configuration, Markus Stumptner, Technische Universitat Wien Subsumption and Recognition of Heterogeneous Constraint Networks, Robert Weida, Columbia University Managing Large Temporal Delays in a Model Based Control System, Fano Ramparany, ITMI, France PANEL SESSION: INTELLIGENT USER INTERFACES Chair: David Redmiles, University of Colorado at Boulder 12:00 noon - 1:30 pm Lunch 1:30 - 3:00 pm Concurrent Sessions PAPER SESSION: INFORMATION SYSTEMS AND DATABASES Session Chair: TBA A Development Process for Engineering Project Management Information Systems Based on Semantic Data Models, Jiaqing Cao, Anhui University, The People's Republic of China Automating Workflows for Service Provisioning: Integrating AI and Database Technologies, Michael N. Huhns, MCC Merging Information by Discourse Processing for Information Extraction, Tsuyoshi Kitani, NTT Data Communications Systems Corporation Improving Monitoring and Surveillance through Integration of Artificial Intelligence and Information Management Systems, Marco Lazzari, ISMES, Italy PAPER SESSION: DIAGNOSIS Session Chair: TBA Intelligent Reliability Analysis, Jeffrey A. Barnett, The Northrop Corporation Optimizing Genetic Algorithm Parameters for Multiple Fault Diagnosis Applications, Mark Juric, The University of Georgia A Computationally Efficient Probabilistic Diagnosis Tool, Gegory M. Provan, University of Pennsylvania Component Ontological Representation of Function for Diagnosis, Shambhu J. Upadhyaya, University of Buffalo PANEL SESSION: THE INFORMATION SUPERHIGHWAY: WHAT AI RESEARCH IS NEEDED? Chair: Meyer Billmers, DEC 3:00 - 3:30 Break 3:30 - 4:00 CLOSING SESSION --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- CAIA '94 CONFERENCE COMMITTEE General Chair: Dan O'Leary, University of Southern California Program Chair: Peter Selfridge, AT&T Bell Laboratories Publicity Chair: Marc Goodman, Cognitive Systems and Brandeis University Local Arrangements Chair: Aaron Konstam, Trinity University Program Committee: Chid Apte, IBM Marie Bienkowski, SRI Larry Birnbaum, Northwestern University Ron Brachman, AT&T Bell Laboratories Mark Burstein, BBN Dan Cooke, U. Texas El Paso Vasant Dhar, NYU Tim Finin, U. Maryland Baltimore County Phil Hayes, Carnegie Group Jim Hendler, U. Maryland Haym Hirsh, Rutgers Lou Hoebel, Rome Laboratory, USAF Se June Hong, IBM Lewis Johnson, USC/ISI Bernadette Kowalski-Minton, Academic Systems Corp. Larry Lefkowitz, Bellcore Don McKay, Paramax Robert Milne, Intelligent Applications Ltd. Fumio Mizoguchi, Tokyo Science University Charles Petrie, CDR, Stanford University David Redmiles, UC Boulder Anil Rewari, DEC Marcio Rillo, University of San Paulo, Brazil Eric Schoen, Schlumberger Evangelos Simoudis, Lockheed Bob Simpson, NCR Elliot Soloway, U. Michigan Craig Stanfill, Thinking Machines Loren Terveen, AT&T Bell Laboratories Oliver Vadas, Pulp and Paper Research Institute of Canada Wolfgang Wahlster, DFKI David Waltz, Thinking Machines and Brandeis U. John Yen, Texas A&M University --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- CAIA '94 REGISTRATION INFORMATION Registration information will be available shortly. Send a message to CAIA94-REGISTER@CS.UMBC.EDU if you would like to receive via email the full details on registration (including forms) as soon as it iss available. --o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o--o-- CAIA '94 HOTEL INFORMATION The conference hotel for CAIA '94 is the Marriot Riverwalk in San Antonio, Texas. Please contact the hotel directly using the following information: Reservation number: 1-800-228-9290 Conference rate: Single: $125, Double: $135 Mention "IEEE Computer Society" to get this rate