arbib michael a et al (3 résultats)

Etat : as new. Cambridge, MA. : The MIT Press, 1990. Paperback. Library stamp. 737 pp. - In four parts the book covers current theories of visual information processing in humans and other animals and current methodologies for designing computer vision systems. Based in part on papers presented at the Vision, Brain, and Cooperative Computation Workshop, held at the University of Massachusetts at Amherst in May 1983 and supported in part by the Alfred P. Sloan Foundation and the National Institutes of Health. Condition : as new copy. ISBN 9780262510493. Keywords : Computer studies,

Softcover. Etat : Very Good. Very Good paperback with some cover rubbing and creasing to the first page. Pages 135-229, unmarked. Lichty: On Knowing the Unknowable How Far Can Artificial Intelligence Go? ; Ecr R7r; 8vo 8" - 9" tall.

Etat : Minor rubbing. VG. orig.wrappers Minor rubbing. VG. 29x21cm, xv,1118 pp, PAPERBACK. Contents: Introducing the Neuron; Levels & Styles of Analysis; Dynamics & Adaptation in Neural Networks; Road Maps: The Meta-Map: Connectionism: Psychology, Linguistics & Artificial Intelligence; Dynamics, Self- Organization & Cooperativity; Learning in Artificial Neural Networks; Applications & Implementations; Biological Neurons & Networks; Sensory Systems, Plasticity in Development & Learning; Motor Control; Articles [A -Z]. ["This text charts the progress made in recent years in many specific areas related to the following two questions: how does the brain work?; and how can we build intelligent machines? The handbook covers the entire range of topics involved in brain theory and neural networks, from detailed models of single neurons, analyses of different biological neural networks and connectionist studies of psychology and language to mathematical analyses of a variety of abstract neural networks and technological applications of adaptive, artificial neural networks. The main part of the text, Part Three, contains 267 articles by leaders in the various fields, arranged alphabetically by title. The first two parts are designed to help readers orient themselves to this vast range of material. Part One introduces several basic neural models, explains how the present study of brain theory and neural networks integrates brain theory, artificial intelligence and cognitive psychology, and provides a tutorial on the concepts essential for understanding neural networks as dynamic, adaptive systems.,." - Publisher's description].