Connectionist Symbol Processing

Informationen zum Autor Geoffrey Hinton is Professor of Computer Science at the University of Toronto. Klappentext Addressing the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively. Zusammenfassung Addressing the current tension within the artificial intelligence community between advocates of powerful symbolic representations that lack efficient learning procedures and advocates of relatively simple learning procedures that lack the ability to represent complex structures effectively. Inhaltsverzeichnis BoltzCONS - dynamic symbol structures in a connectionist network! D.S. Touretzky; mapping part-whole hierarchies into connectionist networks! G. E. Hinton; recursive distributed representations! J.B. Pollack; mundane reasoning by settling on a plausible model! M. Derthick; tensor product variable binding and the representation of symbolic structures in connectionist systems! P. Smolensky; learning and applying contextual constraints in sentence comprehension! M.F. St. John and J.L. McClelland.

Product details

• Authors: Geoffrey Hinton
• Assisted by: Geoffrey Hinton (Editor)
• Publisher: The MIT Press
• Languages: English
• Product format: Paperback / Softback
• Released: 17.10.1991
• EAN: 9780262581066
• ISBN: 978-0-262-58106-6
• No. of pages: 268
• Series: Special Issues of Artificial Intelligence; Connectionist Symbol Processing; Special Issues of Artificial Intelligence; Special Issues of Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; Non-fiction book > Psychology, esoterics, spirituality, anthroposophy > Psychology: general, reference works