Multiple Approaches to Intelligent Systems

12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, Cairo, Egypt, May 31 - June 3, 1999. Proceedings

  • Ibrahim Imam
  • Yves Kodratoff
  • Ayman El-Dessouki
  • Moonis Ali
Conference proceedings IEA/AIE 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1611)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1611)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Flávio S. Corrêa da Silva
      Pages 1-3
    2. Nicholas R. Jennings
      Pages 4-10
    3. Ibrahim H. Osman
      Pages 11-12
  3. Fuzzy Systems

  4. Neural Networks

    1. A. Martínez, J. Castellanos, C. Hernández, F. de Mingo
      Pages 101-110
    2. Gerard Murray, Tim Hendtlass, John Podlena
      Pages 111-117
  5. Genetic Algorithms

    1. Ahmed Ezzat, Nobuhiro Inuzuka, Hidenori Itoh
      Pages 118-126
    2. Fabrice Guillet, Pascale Kuntz, Rémi Lehn
      Pages 145-154
    3. Sahar Shazely, Hoda Baraka, Ashraf Abdel-Wahab, Hanan Kamal
      Pages 155-164

About these proceedings

Introduction

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.

Keywords

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

Editors and affiliations

  • Ibrahim Imam
    • 1
  • Yves Kodratoff
    • 2
  • Ayman El-Dessouki
    • 3
  • Moonis Ali
    • 4
  1. 1.Thinking Machines CorporationBurlingtonUSA
  2. 2.LRI, UMR CNRS 8623, BâtOrsayFrance
  3. 3.  
  4. 4.Department of Computer ScienceTexas State University-San MarcosSan MarcosUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b72302
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66076-7
  • Online ISBN 978-3-540-48765-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book