Applications of Uncertainty Formalisms

1. Front Matter

   Pages I-VIII

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2. Introduction

   1. Introduction to uncertainty formalisms

      • Anthony Hunter, Simon Parsons

      Pages 1-7

   2. A Review of Uncertainty Handling Formalisms

      • Simon Parsons, Anthony Hunter

      Pages 8-37

3. Application case studies

   1. Using Uncertainty Management Techniques in Medical Therapy Planning: a Decision-Theoretic approach

      • Paolo Magni, Riccardo Bellazzi, Franco Locatelli

      Pages 38-57

   2. An Ordinal Approach to the Processing of Fuzzy Queries with Flexible Quantifiers

      • Patrick Bosc, Ludovic Liétard, Henri Prade

      Pages 58-75

   3. Using Uncertainty Techniques in Radio Communication Systems

      • K. van Dam

      Pages 76-87

   4. Handling imperfect knowledge in Milord II for the identification of marine sponges

      • Marta Domingo, Lluís Godo, Carles Sierra

      Pages 88-137

   5. Qualitative risk assessment fulfils a need

      • Paul Krause, John Fox, Philip Judson, Mukesh Patel

      Pages 138-156

   6. Information Retrieval and Dempster-Shafer’s Theory of Evidence

      • Mounia Lalmas

      Pages 157-176

   7. Uncertainty Measures associated with Fuzzy Rules for Connection Admission Control in ATM Networks

      • Maria Fernanda N. Ramalho

      Pages 177-197

   8. Handling uncertainty in control of autonomous robots

      • Alessandro Saffiotti

      Pages 198-224

   9. Some Problems in Trying to Implement Uncertainty Techniques in Automated Inspection

      • Duncan Wilson, Alistair Greig, John Gilby, Robert Smith

      Pages 225-241

   10. Correlation using uncertain and temporal information

       • John Bigham

       Pages 242-265

   11. Arguing about beliefs and actions

       • John Fox, Simon Parsons

       Pages 266-302

   12. Analysis of Multi-Interpretable Ecological Monitoring Information

       • Frances Brazier, Joeri Engelfriet, Jan Treur

       Pages 303-324

4. Technology for applications

   1. A local handling of inconsistent knowledge and default bases

      • Salem Benferhat, Laurent Garcia

      Pages 325-353

   2. The XRay system: An implementation platform for local query-answering in default logics

      • Pascal Nicolas, Torsten Schaub

      Pages 354-378

   3. Model-based Diagnosis: A Probabilistic Extension

      • Ahmed Y. Tawfik, Eric Neufeld

      Pages 379-396

   4. Background to and Perspectives on Possibilistic Graphical Models

      • Jörg Gebhardt, Rudolf Kruse

      Pages 397-414

   5. How much does an agent believe: an extension of modal epistemic logic

      • Subrata K. Das

      Pages 415-426

An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.

• Extension
• Fuzzy Control Systems
• Fuzzy Logic
• Probabilistic Reasoning
• Uncertainty Management
• automated reasoning
• control
• information retrieval
• knowledge
• logic
• modeling
• robot
• uncertainty

• Department of Computer Science, University College London, London, UK

  Anthony Hunter

• Queen Mary and Westfield College, Department of Electronic Engineering, University of London, London, UK

  Simon Parsons

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