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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 / edited by Ibrahim F. Imam, Yves Kodratoff, Ayman El-Dessouki, Moonis Ali.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Imam, Ibrahim F., editor.
Kodratoff, Yves, editor.
El-Dessouki, Ayman, editor.
Ali, Moonis, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 1611.
Lecture Notes in Artificial Intelligence ; 1611
Language:
English
Subjects (All):
Artificial intelligence.
Computer simulation.
Computational complexity.
Artificial Intelligence.
Simulation and Modeling.
Complexity.
Local Subjects:
Artificial Intelligence.
Simulation and Modeling.
Complexity.
Physical Description:
1 online resource (XXXVIII, 904 pages).
Edition:
First edition 1999.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
System Details:
text file PDF
Summary:
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, et cetera 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.
Contents:
Invited Talks
Fuzzy Systems
Neural Networks
Genetic Algorithms
Search
Reasoning
Expert Systems and Applications
Case-Base Reasoning
Intelligent Agents
Distributed AI
Machine Learning
Temporal Reasoning
Knowledge Representation
Planning and Scheduling
Tutoring and Manufacturing Systems
Intelligent Software Engineering.
Other Format:
Printed edition:
ISBN:
978-3-540-48765-4
9783540487654
Access Restriction:
Restricted for use by site license.

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