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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

  • Conference proceedings
  • © 1999

Overview

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IEA/AIE 1999.

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Table of contents (94 papers)

  1. Genetic Algorithms

  2. Search

  3. Reasoning

  4. Expert Systems and Applications

Other volumes

  1. Multiple Approaches to Intelligent Systems

Keywords

About this book

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.

Editors and Affiliations

  • 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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