Hardcover. Condizione: Fine condition. Condizione sovraccoperta: Fine dust jacket. 1st US printing of First Collected ed. New York: Chapman & Hall, 1984. Bright, shiny, clean, square, tight, unmarked copy. Sharp corners. Not a book club edition. No owner's name or bookplate. No remainder mark. No chips or tears. Illustrated. From the Dust Jacket: "This book brings together for the first time papers on robot vision written by some of the leading academics and researchers in the world. The next stage of development, discussed in this book, is concerned with the design and use of the adaptive robot - the robot that can react to changes in its environment. The principal aim of the authors is to demonstrate that the creation of the sensate robot is now a technical possibility, whilst keeping in mind the need for economic viability." Chapters 2 to 10 were previously published in: Digital Systems for Industrial Automation [Crane Russak & Company, Inc., c1981 and 1982]. Chapters 1, 11 and 12 are new and are first published here. 1st US printing of First Collected ed. Hardcover. Fine condition/Fine dust jacket. 8vo. 233pp. Great Packaging, Fast Shipping.
Condizione: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 410 pages. 8.98x5.98x1.02 inches. In Stock.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorIgor Aleksander is Professor of Computer Science at Imperial College in London.KlappentextAn overview and synopsis of European connectionist research from both classical and.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 57,65
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cognitive science. While Neural Computing Architectures addresses the same issues, there is little overlap in the research it reports. These 18 contributions provide a timely and informative overview and synopsis of both pioneering and recent European connectionist research. Several chapters focus on cognitive modeling; however, most of the work covered revolves around abstract neural network theory or engineering applications, bringing important complementary perspectives to currently published work in PDP. In four parts, chapters take up neural computing from the classical perspective, including both foundational and current work; the mathematical perspective (of logic, automata theory, and probability theory), presenting less well-known work in which the neuron is modeled as a logic truth function that can be implemented in a direct way as a silicon read only memory. They present new material both in the form of analytical tools and models and as suggestions for implementation in optical form, and summarize the PDP perspective in a single extended chapter covering PDP theory, application, and speculation in US research. Each part is introduced by the editor.