sriniv@cathedral.cerc.wvu.wvnet.edu (Srinivas Kankanahalli) (05/27/91)
CONNECTIONIST BOOK ANNOUNCEMENT
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Barnden, J.A. & Pollack, J.B. (Eds). (1991).
Advances in Connectionist and Neural Computation Theory, Vol. 1:
High Level Connectionist Models.
Norwood, N.J.: Ablex Publishing Corp.
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ISBN 0-89391-687-0
Location index QA76.5.H4815 1990
389 pp.
Extensive subject index.
Cost $34.50 for individuals and course adoption.
For more information:
jbarnden@nmsu.edu, pollack@cis.ohio-state.edu
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MAIN CONTENTS:
David Waltz
Foreword
John A. Barnden & Jordan B. Pollack
Introduction: problems for high level connectionism
David S. Touretzky
Connectionism and compositional semantics
Michael G. Dyer
Symbolic NeuroEngineering for natural language processing:
a multilevel research approach.
Lawrence Bookman & Richard Alterman
Schema recognition for text understanding:
an analog semantic feature approach
Eugene Charniak & Eugene Santos
A context-free connectionist parser which is not connectionist,
but then it is not really context-free either
Wendy G. Lehnert
Symbolic/subsymbolic sentence analysis:
exploiting the best of two worlds.
James Hendler
Developing hybrid symbolic/connectionist models
John A. Barnden
Encoding complex symbolic data structures
with some unusual connectionist techniques
Mark Derthick
Finding a maximally plausible model of an inconsistent theory
Lokendra Shastri
The relevance of connectionism to AI:
a representation and reasoning perspective
Joachim Diederich
Steps toward knowledge-intensive connectionist learning
Garrison W. Cottrell & Fu-Sheng Tsung
Learning simple arithmetic procedures.
Jiawei Hong & Xiaonan Tan
The similarity between connectionist and other parallel computation models
Lawrence Birnbaum
Complex features in planning and understanding:
problems and opportunities for connectionism
Jordan Pollack & John Barnden
Conclusion