Soft-Ware 2002: Computing in an Imperfect World

1. Front Matter

   Pages I-XI

   PDF

2. Technical Session 1

   1. Overview of Fuzzy-RED in Diff-Serv Networks

      • L. Rossides, C. Chrysostomou, A. Pitsillides, A. Sekercioglu

      Pages 1-13

   2. An Architecture for Agent-Enhanced Network Service Provisioning through SLA Negotiation

      • David Chieng, Ivan Ho, Alan Marshall, Gerard Parr

      Pages 14-30

   3. Facing Fault Management as It Is, Aiming for What You Would Like It to Be

      • Roy Sterritt

      Pages 31-45

   4. Enabling Multimedia QoS Control with Black-Box Modelling

      • Gianluca Bontempi, Gauthier Lafruit

      Pages 46-59

3. Technical Session 2

   1. Using Markov Chains for Link Prediction in Adaptive Web Sites

      • Jianhan Zhu, Jun Hong, John G. Hughes

      Pages 60-73

   2. Classification of Customer Call Data in the Presence of Concept Drift and Noise

      • Michaela Black, Ray Hickey

      Pages 74-87

   3. A Learning System for Decision Support in Telecommunications

      • Filip Železný, Jiří Zídgek, Olga Štěpánková

      Pages 88-101

   4. Adaptive User Modelling in an Intelligent Telephone Assistant

      • Trevor P. Martin, Benham Azvine

      Pages 102-113

4. Technical Session 3

   1. A Query-Driven Anytime Algorithm for Argumentative and Abductive Reasoning

      • Rolf Haenni

      Pages 114-127

   2. Proof Length as an Uncertainty Factor in ILP

      • Gilles Richard, Fatima Zohra Kettaf

      Pages 128-140

   3. Paraconsistency in Object-Oriented Databases

      • Rajiv Bagai, Shellene J. Kelley

      Pages 141-150

   4. Decision Support with Imprecise Data for Consumers

      • Gergely Lukács

      Pages 151-165

   5. Genetic Programming: A Parallel Approach

      • Wolfgang Golubski

      Pages 166-173

   6. Software Uncertainty

      • Manny M. Lehman, J. F. Ramil

      Pages 174-190

5. Technical Session 4

   1. Temporal Probabilistic Concepts from Heterogeneous Data Sequences

      • Sally McClean, Bryan Scotney, Fiona Palmer

      Pages 191-205

   2. Handling Uncertainty in a Medical Study of Dietary Intake during Pregnancy

      • Adele Marshall, David Bell, Roy Sterritt

      Pages 206-216

   3. Sequential Diagnosis in the Independence Bayesian Framework

      • David McSherry

      Pages 217-231

   4. Static Field Approach for Pattern Classification

      • Dymitr Ruta, Bogdan Gabrys

      Pages 232-246

   5. Inferring Knowledge from Frequent Patterns

      • Marzena Kryszkiewicz

      Pages 247-262

This was the ?rst conference of a new series devoted to the e?ective handling of soft issues in the design, development, and operation of computing systems. The conference brought together contributors from a range of relevant disciplines, including arti?cial intelligence, information systems, software engineering, and systems engineering. The keynote speakers, Piero Bonissone, Ray Paul, Sir Tony Hoare, Michael Jackson, and Derek McAuley have interests and experience that collectively span all of these ?elds. Soft issues involve information or knowledge that is uncertain, incomplete, or contradictory. Examples of where such issues arise include: – requirements management and software quality control in software engine- ing, – con?ict or multiple sources information management in information systems, – decision making/prediction in business management systems, – quality control in networks and user services in telecommunications, – traditional human rationality modeling in arti?cial intelligence, – data analysis in machine learning and data mining, – control management in engineering. The concept of dealing with uncertainty became prominent in the arti?cial intel- gence community nearly 20 years ago, when researchers realized that addressing uncertainty was an essential part of representing and reasoning about human knowledge in intelligent systems. The main methodologies that have emerged in this area are soft computing and computational intelligence.

• Soft computing
• artificial intelligence
• computational intelligence
• decision making
• design
• fuzzy control
• information system
• intelligence
• knowledge processing
• machine learning
• probabilistic systems
• requirement management
• software engineering
• software quality
• statistical inference

• Faculty of Informatics School of Information and Software Engineering, University of Ulster, Newtownabbey, Northern Ireland

  David Bustard, Weiru Liu, Roy Sterritt

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