Multiple Approaches to Intelligent Systems: 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert . / Lecture Notes in Artificial Intelligence 1611)

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

ISBN 10: 3540660763 / ISBN 13: 9783540660767

Published by Springer, 1999

About this Item

899 pp., Paperback, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Seller Inventory # ZB716325

Bibliographic Details

• Title: Multiple Approaches to Intelligent Systems: 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert . / Lecture Notes in Artificial Intelligence 1611)
• Publisher: Springer
• Publication Date: 1999
• Language: English
• ISBN 10: 3540660763
• ISBN 13: 9783540660767
• Binding: Soft cover
• Condition: Good

About this title

Synopsis

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.