Intelligent Problem Solving. Methodologies and Approaches (Paperback)

Rasiah Logananthara

ISBN 10: 3540676899 / ISBN 13: 9783540676898

Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2000

Paperback. This book constitues the refereed proceedings of the 13th International Conference on Industrial and Engineering Application of Artificial Intelligence and Export Systems, IEA/AIE 2000, held in New Orleans, Lousiana, USA, in June 2000.The 90 revised full papers presented were carefully reviewed and selected from more than 120 submissions. Among the topics covered are intelligent agents, distributed problem solving, artificial neural networks, intelligent data mining, diagnosis, export systems, intelligent information systems, genetic algorithms, fuzzy logic, design, natural language processing, pattern recognition, and combinatorial optimization. The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783540676898

Synopsis :

The focus of the papers presented in these proceedings is on employing various methodologies and approaches for solving real-life problems. Although the mechanisms that the human brain employs to solve problems are not yet completely known, we do have good insight into the functional processing performed by the human mind. On the basis of the understanding of these natural processes, scientists in the field of applied intelligence have developed multiple types of artificial processes, and have employed them successfully in solving real-life problems. The types of approaches used to solve problems are dependant on both the nature of the problem and the expected outcome. While knowledge-based systems are useful for solving problems in well-understood domains with relatively stable environments, the approach may fail when the domain knowledge is either not very well understood or changing rapidly. The techniques of data discovery through data mining will help to alleviate some problems faced by knowledge-based approaches to solving problems in such domains. Research and development in the area of artificial intelligence are influenced by opportunity, needs, and the availability of resources. The rapid advancement of Internet technology and the trend of increasing bandwidths provide an opportunity and a need for intelligent information processing, thus creating an excellent opportunity for agent-based computations and learning. Over 40% of the papers appearing in the conference proceedings focus on the area of machine learning and intelligent agents - clear evidence of growing interest in this area.

Détails bibliographiques

Titre : Intelligent Problem Solving. Methodologies ...
Éditeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
Date d'édition : 2000
Reliure : Paperback
Etat : new