Knowledge-Based Intelligent Information and Engineering Systems

1. Front Matter

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2. Advances on Adaptive Resonance Theory and Applications

   1. Putting the Utility of Match Tracking in Fuzzy ARTMAP Training to the Test

      • Georgios C. Anagnostopoulos, Michael Georgiopoulos

      Pages 1-6

   2. An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data

      • Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison

      Pages 7-15

   3. Combining Support Vector Machines and ARTMAP Architectures for Natural Classification

      • Alberto Muñoz, Javier M. Moguerza

      Pages 16-21

   4. ART-Based Neuro-fuzzy Modelling Applied to Reinforcement Learning

      • Konstantinos C. Zikidis, Spyros G. Tzafestas

      Pages 22-29

   5. AFC: ART-Based Fuzzy Classifier

      • Elena P. Sapozhnikova, Wolfgang Rosenstiel

      Pages 30-36

3. Intelligent Decision Support Making Systems

   1. Intelligent Assistance, Retrieval, Reminder and Advice for Fuzzy Multicriteria Decision-Making

      • Jocelyn San Pedro, Frada Burstein

      Pages 37-44

   2. Facilitating Electronic Business Planning with Decision Making Support Systems

      • Lidan Ha, Guisseppi Forgionne, Fen Wang

      Pages 45-51

   3. Critical Context for Decision Making: A Modeling Approach Based on a Re-planning Tool

      • Guy Camilleri, Jean-Luc Soubie, Pascale Zaraté

      Pages 52-58

   4. A Framework to Assess Intelligent Decision-Making Support Systems

      • M. Mora, G. Forgionne, J. Gupta, F. Cervantes, O. Gelman

      Pages 59-65

   5. An Information Market for Multi-agent Decision Making: Observations from a Human Experiment

      • Bartel Van de Walle, Mihai Moldovan

      Pages 66-72

   6. Classification of Decision-Behavior Patterns in Multivariate Computer Log Data Using Independent Component Analysis

      • Serafeim Fragos, Lampros K. Stergioulas, Costas S. Xydeas

      Pages 73-79

   7. Design, Integration and Evaluation of an Artificial Intelligence-Based Control System for the Improvement of the Monitoring and Quality Control Process in the Manufacturing of Metal Casting Components

      • Emma L. Mares, Jerry H. Sokolowski

      Pages 80-86

   8. Developing Intelligent Decision Support Systems: A Bipartite Approach

      • Alexandre Gachet, Pius Haettenschwiler

      Pages 87-93

   9. Fuzzy Support Systems for Discretionary Judicial Decision Making

      • Felipe Lara-Rosano, María del Socorro Téllez-Silva

      Pages 94-100

   10. Intelligent Decision Making Support through Just-in-Time Knowledge Management

       • Nabie Y. Conteh, Guisseppi Forgionne

       Pages 101-106

   11. Integrating Simulation and Argumentation in Organizational Decision Making

       • Nikos Karacapilidis, Emmanuel Adamides

       Pages 107-114

4. Neural Networks for Vision - Biological and Artificial

   1. Perceptual Grouping to Motion Direction and Speed in Apertures

      • Isao Hayashi

      Pages 115-122

   2. Assignment of Figural Side to Contours Based on Symmetry, Parallelism, and Convexity

      • Masayuki Kikuchi, Kunihiko Fukushima

      Pages 123-130

   3. Neural Network Model Restoring Partly Occluded Patterns

      • Kunihiko Fukushima

      Pages 131-138

During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .

• data mining
• fuzzy
• human-computer interaction (HCI)
• intelligent systems
• knowledge discovery
• knowledge-based system
• knowledge-based systems
• learning
• machine learning
• ontology
• uncertainty

• Computing Laboratory, Oxford University, Oxford, United Kingdom

  Vasile Palade

• Centre for SMART Systems, School of Environment and Technology, University of Brighton, Brighton, UK

  Robert J. Howlett

• Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Adelaide, Australia

  Lakhmi Jain