Adaptive Cooperative Systems (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Beckerman, Martin

ISBN 10: 0471012874 / ISBN 13: 9780471012870

Edité par Wiley-Interscience, 1997

A propos de cet article

SHIPS FROM USA.

N° de réf. du vendeur 145C1-106B1-133D1-135D1-..74-ORD1-190430

Détails bibliographiques

• Titre: Adaptive Cooperative Systems (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)
• Éditeur: Wiley-Interscience
• Date de parution: 1997
• Langue: anglais
• ISBN à 10 chiffres: 0471012874
• ISBN à 13 chiffres: 9780471012870
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: New
• Poids: 1,8 livre

A propos de ce titre

Synopsis

A co-operative process is one in which locally organized elements interact in a co-operative manner to achieve an overall, global order. Such processes are widespread in physical and biological systems - their elements may be pixels in a digital image, neurons in the central nervous system, or atoms in a solid lattice. In this work, the author presents a theory of co-operative computation, as applied to perceptual inferencing problems. The problems addressed include: the integration of multiple sensory information (multi-user fusion); figure-ground segregation; the segmentation of visual images; attention; the self-organization of feature detecting neurons; and short-term plasticity.

Quatrième de couverture

A fully integrated, up–to–date exploration of self–organizing processes

Our understanding of self–organizing cooperative systems is advancing by leaps and bounds, shedding new light on the nature of life and human consciousness, while offering solutions to a wide range of technical problems. Martin Beckerman, a researcher working at Oak Ridge National Laboratory, has written this book in an effort to help researchers working in such far–flung fields as signal processing, neuroscience, and robotics stay abreast of the latest advances in adaptive cooperative systems.

Adaptive Cooperative Systems

• Clearly explains the statistical physics behind the latest adaptive cooperative models and methods
• Describes sophisticated probabilistic methods and shows how they can be used to develop algorithms for solving problems in various research domains
• Describes important recent findings on self–organizing cooperative behavior in biological systems
• Provides examples drawn from geoscience, astrophysics, image processing, robotics, AI, and other disciplines
• Presents a rigorous theory of cooperative computation as applied to problems in perceptual inferencing