Research and Development in Intelligent Systems XVII

1. Front Matter

   Pages I-IX

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2. Technical Keynote Address

   1. Front Matter

      Pages 1-1

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   2. Intelligible AI Planning — Generating Plans Represented as a Set of Constraints

      • Austin Tate

      Pages 3-13

3. Best Technical Paper

   1. Front Matter

      Pages 17-17

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   2. A Resource Limited Artificial Immune System for Data Analysis

      • Jon Timmis, Mark Neal

      Pages 19-32

4. Learning I

   1. Front Matter

      Pages 33-33

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   2. Experiences with a weighted decision tree learner

      • John G. Cleary, Leonard E. Trigg, Geoffrey Holmes, Mark Hall

      Pages 35-47

   3. A Case Study of Strategic Induction: the Roman Numerals Data Set

      • David McSherry

      Pages 48-61

   4. Selecting Optimal Split-Functions for Large Datasets

      • Kilian Stoffel, Laura E. Raileanu

      Pages 62-72

   5. Learning with C4.5 in a Situation Calculus Domain

      • Kamran Karimi, Howard J. Hamilton

      Pages 73-85

5. Case Based Reasoning

   1. Front Matter

      Pages 87-87

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   2. Incremental Footprint-Based Retrieval

      • Barry Smyth, Elizabeth McKenna

      Pages 89-101

   3. Macro and Micro Applications of Case-Based Reasoning to Feature-Based Product Selection

      • Guy Saward, Toby O’Dell

      Pages 102-114

   4. Formal Concept Analysis as a Support Technique for CBR

      • Belén Díaz-Agudo, Pedro A. González-Calero

      Pages 115-128

   5. 2D vs 3D Visualisation Techniques for Case-Based Reasoning

      • Barry Smyth, Mark Mullins, Elizabeth McKenna

      Pages 129-142

6. Learning II

   1. Front Matter

      Pages 143-143

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   2. An Instance-Based Approach to Pattern Association Learning with Application to the English Past Tense Verb Domain

      • Ray J. Hickey, Richard G. Martin

      Pages 145-156

   3. Rule Generation Based on Rough Set Theory for Text classification

      • Yaxin Bi, Terry Anderson, Sally McClean

      Pages 157-170

   4. Grouping Multivariate Time Series Variables: Applications to Chemical Process and Visual Field Data

      • Allan Tucker, Stephen Swift, Nigel Martin, Xiaohui Liu

      Pages 171-184

   5. Genetic Algorithm Behaviour in the Task of Finding the Multi — Maximum Domain

      • A. Takahashi, A. Borisov

      Pages 185-198

M.A. Bramer University of Portsmouth, UK This volume comprises the refereed technical papers presented at ES2ooo, the Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, held in Cambridge in December 2000, together with an invited keynote paper by Professor Austin Tate. The conference was organised by SGES, the British Computer Society Specialist Group on Knowledge Based Systems and Applied Artificial Intelligence. The papers in this volume present new and innovative developments in the field, divided into sections on learning, case-based reasoning, knowledge representation, knowledge engineering, and belief acquisition and planning. The refereed papers begin with a paper entitled 'A Resource Limited Artificial Immune System for Data Analysis', which describes a machine learning algorithm inspired by the natural immune system. This paper was judged to be the best refereed technical paper submitted to the conference. The considerable growth in interest in machine learning in recent years is well reflected in the content of the next three sections, which comprise four papers on case-based reasoning and nine papers on other areas of machine learning. The remaining papers are devoted to knowledge engineering, knowledge representation, belief acquisition and planning, and include papers on such important emerging topics as knowledge reuse and representing the content of complex multimedia documents on the web. This is the seventeenth volume in the Research and Development series. The Application Stream papers are published as a companion volume under the title Applications and Innovations in Intelligent Systems VIII.

• Artifical Intelligence
• Cisco
• Expert
• Knowledge-based
• Systems
• artificial intelligence
• case-based reasoning
• cognition
• data analysis
• decision tree
• intelligent systems
• knowledge
• knowledge base
• knowledge representation
• modeling

• Faculty of Technology, University of Portsmouth, Portsmouth, UK

  Max Bramer

• Department of Computer Science, University of Aberdeen, Aberdeen, UK

  Alun Preece

• Department of Computer Science, University of Liverpool, Liverpool, UK

  Frans Coenen

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