Multiple Approaches to Intelligent Systems

1. Front Matter

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2. Invited Talks

   1. Formalisations of Uncertain Reasoning

      • Flávio S. Corrêa da Silva

      Pages 1-3

   2. Agent-Oriented Software Engineering

      • Nicholas R. Jennings

      Pages 4-10

   3. A Unified-Metaheuristic Framework

      • Ibrahim H. Osman

      Pages 11-12

3. Fuzzy Systems

   1. A Fuzzy Knowledge Representation and Acquisition Scheme for Diagnostic Systems

      • Shyue-Liang Wang, Yi-Huey Wu

      Pages 13-22

   2. Modelling Fuzzy Sets Using Object-Oriented Techniques

      • Gary Yat Chung Wong, Hon Wai Chun

      Pages 23-32

   3. A Fuzzy Approach to Map Building

      • H. Zreak, M. Alwan, M. Khaddour

      Pages 33-42

   4. Towards an Affirmative Interpretation of Linguistically Denied Fuzzy Properties in Knowledge-Based Systems

      • Daniel Pacholczyk

      Pages 43-53

   5. Representational Hierarchy of Fuzzy Logic Concepts in the OBOA Model

      • Ramo Sendelj, Vladan Devedzic

      Pages 54-63

   6. Design of Fuzzy Sliding Controller Based on Cerebellar Learning Model

      • Heng-Kang Fan, Chih-Ming Chen, Chin-Ming Hong

      Pages 64-73

   7. A New Fuzzy Flexible Flow-Shop Algorithm for Continuous Fuzzy Domain

      • Tzung-Pei Hong, Tzu-Ting Wang

      Pages 74-79

4. Neural Networks

   1. Testing the Performance of a Neural Networks-Based Adaptive Call Admission Controller with Multimedia Traffic

      • Yasser Dakroury, Ahmed Abd El Al, Osman Badr

      Pages 80-91

   2. A Combined Neural Network and Mathematical Morphology Method for Computerized Detection of Microcalcifications

      • Daniel Manrique, Juan Ríos, Amparo Vilarrasa

      Pages 92-100

   3. Study of Weight Importance in Neural Networks Working with Colineal Variables in Regression Problems

      • A. Martínez, J. Castellanos, C. Hernández, F. de Mingo

      Pages 101-110

   4. The Parallel Path Artificial Micronet

      • Gerard Murray, Tim Hendtlass, John Podlena

      Pages 111-117

5. Genetic Algorithms

   1. A Generation Method to Produce GA with GP Capabilities for Signal Modeling

      • Ahmed Ezzat, Nobuhiro Inuzuka, Hidenori Itoh

      Pages 118-126

   2. Preventing Premature Convergence to Local Optima in Genetic Algorithms via Random Offspring Generation

      • Miguel Rocha, José Neves

      Pages 127-136

   3. Using Self Organizing Maps and Genetic Algorithms for Model Selection in Multilevel Optimization

      • Mohammed El-Beltagy, Andy Keane

      Pages 137-144

   4. A Genetic Algorithm for Visualizing Networks of Association Rules

      • Fabrice Guillet, Pascale Kuntz, Rémi Lehn

      Pages 145-154

   5. Genetic Algorithms in Solving Graph Partitioning Problem

      • Sahar Shazely, Hoda Baraka, Ashraf Abdel-Wahab, Hanan Kamal

      Pages 155-164

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.

• agents
• algorithms
• artificial intelligence
• case-based reasoning
• cognition
• expert system
• fuzzy system
• genetic algorithm
• knowledge
• knowledge representation
• learning
• machine learning
• neural network
• pattern recognition
• complexity

• Thinking Machines Corporation, Burlington, USA

  Ibrahim Imam

• LRI, UMR CNRS 8623, Bât, Orsay, France

  Yves Kodratoff

•  ,  

  Ayman El-Dessouki

• Department of Computer Science, Texas State University-San Marcos, San Marcos, USA

  Moonis Ali

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