Engineering of Intelligent Systems

1. Front Matter

   Pages I-XVIII

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2. Solving Network Synthesis Problems Using Ant Colony Optimisation

   • Marcus Randall, Elliot Tonkes

   Pages 1-10

3. A Combined Swarm Differential Evolution Algorithm for Optimization Problems

   • Tim Hendtlass

   Pages 11-18

4. An Evolutionary Optimum Searching Tool

   • Zoltán Tóth, Gabriella Kókai

   Pages 19-24

5. Value Prediction in Engineering Applications

   • G. Ziegler, Z. Palotai, T. Cinkler, P. Arató, A. Lörincz

   Pages 25-34

6. Scatter Search with Random Walk Strategy for SAT and MAX-W-SAT Problems

   • Habiba Drias, Mohamed Khabzaoui

   Pages 35-44

7. Move Ordering Using Neural Networks

   • Levente Kocsis, Jos Uiterwijk, Jaap van den Herik

   Pages 45-50

8. Why Use a Unified Knowledge Representation?

   • John Debenham

   Pages 51-60

9. Lazy Knowledge Base Update

   • Witold ãukaszewicz, Ewa Madalińska-Bugaj

   Pages 61-70

10. On the Computational Aspect of Rule Based Database Updates

    • Yun Bai, Yan Zhang

    Pages 71-81

11. Building an Information and Knowledge Fusion System

    • Tamás Mészáros, Zsolt Barczikay, Ferenc Bodon, Tadeusz P. Dobrowiecki, György Strausz

    Pages 82-91

12. Hierarchical Approach for Engineering Skills Acquisition

    • Mark S. Levin

    Pages 92-100

13. Dealing with Information in the Different Styles Together — Skill Inheritance and Integration of Information

    • Setuo Ohsuga, Naoto Ueda

    Pages 101-106

14. Knowledge Modelling in Support of Knowledge Management

    • Robert Kende

    Pages 107-112

15. A New Approach in Object-Based Knowledge Representation: The AROM System

    • Michel Page, Jéräme Gensel, Cécile Capponi, Christophe Bruley, Philippe Genoud, Danielle Ziébelin et al.

    Pages 113-118

16. Ontology Integration Tasks in Business-to-Business E-Commerce

    • Borys Omelayenko

    Pages 119-124

17. Using Multiple Models for Debugging VHDL Designs*

    • Franz Wotawa

    Pages 125-134

18. Lessons Learned from Diagnosing Dynamic Systems Using Possible Conflicts and Quantitative Models

    • Belarmino Pulido, Carlos Alonso, Felipe Acebes

    Pages 135-144

19. Intelligent Assumption Retrieval from Process Models by Model-Based Reasoning

    • R. Lakner, K. M. Hangos

    Pages 145-154

20. A Knowledge Model for Automatic Configuration of Traffic Messages

    • Martín Molina, Mónica Robledo

    Pages 155-164

This book constitutes the refereed proceedings of the 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Export Systems, IEA/AIE 2001, held in Budapest, Hungary in June 2001. The 104 papers presented were carefully reviewed and selected from a total of 140 submissions. The proceedings offer topical sections on searching, knowledge representation, model-based reasoning, machine learning, data mining, soft computing, evolutionary algorithms, distributed problem solving, export systems, pattern and speech recognition, vision language processing, planning and scheduling, robotics, autonomous agents, design, control, manufacturing systems, finance and business, software engineering, and intelligent tutoring.

• Processing
• algorithms
• artificial intelligence
• autonomous agents
• cognition
• data mining
• evolution
• evolutionary algorithm
• expert system
• knowledge representation
• machine learning
• problem solving
• robot
• robotics
• speech recognition
• algorithm analysis and problem complexity

• Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Budapest, Hungary

  László Monostori, József Váncza

• Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, USA

  Moonis Ali

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