Advances in artificial intelligence II : Seventh European Conference on Artificial Intelligence, ECAI-86, Brighton, U.K., July 20-25, 1986

書誌事項

Advances in artificial intelligence II : Seventh European Conference on Artificial Intelligence, ECAI-86, Brighton, U.K., July 20-25, 1986

edited by Ben du Boulay and David Hogg, Luc Steels

North-Holland , Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co., 1987

タイトル別名

Advances in artiticial intelligence 2

Advances in artificial intelligence two

大学図書館所蔵 件 / 31

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

Although there has been a rapid growth in conferences for subfields of AI, ECAI remains the most important gathering of AI scientists in Europe where the whole field is put in perspective. The papers accepted for the conference focus on basic research directly related to the core problems of artificial intelligence. There were also invited presentations and panels to highlight the industrial aspects of AI and some sections where innovative basic research results are related to applications. The invited speakers were Shapiro, Siekmann, Prini and Hillis. Learning is one of the subfields of AI that attracted a considerable amount of attention due to many new recent results. The papers about knowledge representation cover topics such as default reasoning, reasoning about time, current technical issues in the construction of knowledge representation systems and logic and deduction. Papers in the natural language subfield range from issues in the representation of the meaning of natural language expressions, to the use of semantic or pragmatic information in parsing.

目次

  • Learning. Fundamental Problems (R. Boswell
  • W. Buntine
  • M. Lebowitz
  • W. van de Velde
  • M.W. van Someren). Analogy (C. Granger
  • S. Owen
  • L.F. Rau
  • K. Wellsch, M. Jones). Discovery and Human Problem Solving (W. Emde
  • K.W. Hasse Jr.
  • W.N.H. Jansweijer, J.J. Elshout, B.J. Wielinga
  • V. Jonckers
  • R.W. Lawler). Knowledge Representation. Foundations of Knowledge Representation (J. Barnden
  • W. Lukaszewicz
  • Y. Shoham
  • A. Sloman). Knowledge Representation Systems (G. Attardi
  • Ch. Benoit, Y. Caseau, Ch. Pherivong
  • J.-P. Briot, P. Cointe
  • H. Kauffmann, A. Grumbach
  • P. Maes
  • K. van Marcke). Logic and Deduction (G. Attardi et al.
  • S. Biundo
  • B. Duval, Y. Kodratoff
  • C. Froidevaux
  • J. Gallagher
  • D. Goossens
  • M.M. Huntbach
  • P. Jacquet, M.L. Potet
  • J. Pearl, A. Paz
  • J.H. Siekmann). Natural Language. (G. Adriaens
  • U. Hahn
  • P.S. Jacobs
  • M. King
  • O. Stock). Expert Systems. Expertise and Use of Deep Models (S.K. Andersen, S. Andreassen, M. Woldbye
  • W.F. Clocksin, A.J. Morgan
  • M. Gallanti et al.
  • B.J. Wielinga, J.A. Breuker
  • R.P. Worden et al.). Tools for Expert Systems (P.R. Cohen
  • P.J. Hayes
  • J. Jones, M. Millington, P. Ross
  • B.A. Nardi, E.A. Paulson
  • J.P. Sansonnet). Vision and Robotics. (A. Blake, A. Zisserman, A.V. Papoulias
  • H. Buxton, N. Williams
  • R. Horaud
  • C. Laugier, P. Theveneau
  • L. Massone, P. Morasso
  • E.P.K. Tsang
  • D.E. Wilkins). Concluding Visionary Paper (C. Sinclair).

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