Recent Advances in Intelligent Paradigms and Applications
By: edited by Ajith Abraham, Lakhmi C. Jain, Janusz Kacprzyk
Contributors: Jain, Lakhmi C.; Kacprzyk, Janusz
Series: Studies in Fuzziness and Soft Computing -- 113; Studies in Fuzziness and Soft Computing -- 113
Publisher: Physica-Verlag HD; Imprint: Physica
Published: 2003
Place of publication: Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 272
ISBN-13: 9783790825213; 9783790817706
Subjects: Computer science; Artificial intelligence
Description: The last few decades have seen a new era of artificial intelligence focusing on emulating humans, either in their behaviour or in their neurophysiology. Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. This volume is a rare collection of 12 chapters compiling the latest state-of-the-art research in the area of intelligent paradigms authored by the world leading well-established experts in the field. Each chapter focuses on different aspects of intelligent systems. The chapters present the latest theoretical developments as well as practical applications of these latest technologies.
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Mode of access: World Wide Web.
Table of contents: title: Intelligent systems: architectures and perspectives; title: Hybrid architecture for autonomous robots, based on representations, perception and intelligent control; title: An intuitionistic fuzzy set based approach to intelligent data analysis; title: A fuzzy inference methodology based on the fuzzification of set inclusion; title: A fuzzy approach to job-shop scheduling problem based on imprecise processing times; title: On efficient representation of expert knowledge by fuzzy logic: Towards an optimal combination of granularity and higher order approaches; title: Discovering efficient learning rules for feedforward neural networks using genetic programming; title: Neuro-fuzzy methods for modeling and identification; title: Constrained two dimensional bin packing using a genetic algorithm; title: Sequential and distributed evolutionary algorithms for combinatorial optimization problems; title: Embodied emotional agent in intelligent training system; title: Optimizing intelligent agent's constraint satisfaction with neural networks.