Research and Development in Intelligent Systems XXIII

1. Front Matter

   Pages I-XIV

   PDF

2. Best Technical Paper

   1. Front Matter

      Pages 1-1

      PDF

   2. Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines

      • Arjen Hommersom, Perry Groot, Peter Lucas, Michael Balser, Jonathan Schmitt

      Pages 3-16

3. Al Techniques (GAs, Bio-Motivated Computing and Bayes)

   1. Front Matter

      Pages 17-17

      PDF

   2. A Discrete Particle Swarm Optimization Algorithm for the Permutation Flowshop Sequencing Problem with Makespan Criterion

      • Quan-Ke Pan, M. Fatih Tasgetiren, Yun-Chia Liang

      Pages 19-31

   3. Initialization Method for Grammar-Guided Genetic Programming

      • M. García-Arnau, D. Manrique, J. Ríos, A. Rodríguez-Patón

      Pages 32-44

   4. Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms

      • Nazri Mohd Nawi, Meghana R. Ransing, Rajesh S. Ransing

      Pages 45-58

   5. A Decision Tree-Based Attribute Weighting Filter for Naive Bayes

      • Mark Hall

      Pages 59-70

   6. Graphical Reasoning with Bayesian Networks

      • Ildikó Flesch, Peter Lucas

      Pages 71-84

4. Knowledge Discovery in Data

   1. Front Matter

      Pages 85-85

      PDF

   2. Ranked Multi-Label Rules Associative Classifier

      • Fadi Thabtah

      Pages 87-100

   3. Two Different Approaches to Automated Mark Up of Emotions in Text

      • Virginia Francisco, Raqucl Hervás, Pablo Gervás

      Pages 101-114

   4. Towards a Framework for Change Detection in Data Sets

      • Mirko Böttcher, Detlef Nauck, Dymitr Ruta, Martin Spott

      Pages 115-128

   5. Incremental Inductive Learning in a Constructivist Agent

      • Filipo Studzinski Perotto, Luís Otávio Älvares

      Pages 129-142

5. Argumentation, Dialogue Games and Optimisation

   1. Front Matter

      Pages 143-143

      PDF

   2. Argument Based Contract Enforcement

      • Nir Oren, Alun Preece, Timothy J. Norman

      Pages 145-158

   3. Negotiating Intelligently

      • John Debenham, Simeon Simoff

      Pages 159-172

   4. Avoiding Long and Fruitless Dialogues in Critiquing

      • David McSherry, David W. Aha

      Pages 173-186

   5. LSA-based Landscape Analysis for Multicast Routing

      • Mohammed S. Zahrani, James A. Malcolm, Martin J. Loomes, Andreas A. Albrecht

      Pages 187-200

6. Knowledge Representation And Management

   1. Front Matter

      Pages 201-201

      PDF

M.A.BRAMER University ofPortsmouth, UK This volume comprises the refereed technical papers presented at AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2006. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence. The papers in this volume present new and innovative developments in the field, divided into sections on AI Techniques, Knowledge Discovery in Data, Argumentation, Dialogue Games and Optimisation, Knowledge Representation and Management, Semantic Web, and Model Based Systems and Simulation. For the first time the volume also includes the text of short papers presented as posters at the conference. This year's prize for the best refereed technical paper was won by a paper entitled Combining Task Execution with Background Knowledge for the Verification of Medical Guidelines' written by a team comprising Arjen Hommersom, Perry Groot and Peter Lucas (University of Nijmegen, The Netherlands) and Michael Balser and Jonathan Schmitt (University ofAugsburg, Germany). SGAI gratefully acknowledges the long-term sponsorship of Hewlett-Packard Laboratories (Bristol) for this prize, which goes back to the 1980s. This is the twenty-third 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 XIV. On behalfofthe conference organising committee I should like to thank all those who contributed to the organisation of this year's technical programme, in particular the programme committee members, the executive programme committee and our administrator Mark Firman.

• Argumentation
• Bayesian network
• Emotion
• Mutation
• Simulation
• algorithms
• artificial intelligence
• bioinformatics
• complexity
• constraint satisfaction problem
• genetic programming
• knowledge representation
• learning
• optimization
• semantic web

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

  Max Bramer

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

  Frans Coenen

• Department of Computing, City University, London

  Andrew Tuson

Policies and ethics