Connectionist symbol processing

著者

• Hinton, Geoffrey E.

書誌事項

Connectionist symbol processing

edited by G. E. Hinton

（Special issues of Artificial intelligence, an international journal）（Bradford book）

MIT Press, 1991, c1990

1st MIT Press ed

• : pbk

注記

"Reprinted from Artificial intelligence, an international journal, volume 46, numbers 1-2, 1990"--T.p. verso

Includes bibliographical references and index

内容説明・目次

内容説明

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. The six contributions in Connectionist Symbol Processing address 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. The authors seek to extend the representational power of connectionist networks without abandoning the automatic learning that makes these networks interesting.Aware of the huge gap that needs to be bridged, the authors intend their contributions to be viewed as exploratory steps in the direction of greater representational power for neural networks. If successful, this research could make it possible to combine robust general purpose learning procedures and inherent representations of artificial intelligence-a synthesis that could lead to new insights into both representation and learning.

目次

• 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.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA13695270
• ISBN:
  • 026258106X
• LCCN: 90028969
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Cambridge, Mass.
• ページ数/冊数: 262 p.
• 大きさ: 24 cm
• 分類:
  • NDC8 : 007.1
  • LCC : QA76.5
  • DC20 : 006.3
• 件名:
  • LCSH : Connection machines
  • LCSH : Neural networks (Computer science)
• 親書誌ID:
  • BA13695634
  • BA00245453