Unconventional Computation 6th International Conference, UC 2007, Ki
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Selim G. Akl Cristian S. Calude Michael J. Dinneen Grzegorz Rozenberg H. Todd Wareham (Eds.)
Unconventional Computation 6th International Conference, UC 2007 Kingston, Canada, August 13-17, 2007 Proceedings
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Volume Editors Selim G. Akl Queen’s University School of Computing, Kingston, Ontario K7L 3N6, Canada E-mail: [email protected] Cristian S. Calude Michael J. Dinneen University of Auckland Department of Computer Science, Auckland, New Zealand E-mail: {cristian, mjd}@cs.auckland.ac.nz Grzegorz Rozenberg University of Colorado Department of Computer Science, Boulder, Co 80309-0347, USA E-mail: [email protected] H. Todd Wareham Memorial University of Newfoundland Department of Computer Science, St. John’s, NL, Canada E-mail: [email protected]
Library of Congress Control Number: 2007932233 CR Subject Classification (1998): F.1, F.2 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN ISBN-10 ISBN-13
0302-9743 3-540-73553-4 Springer Berlin Heidelberg New York 978-3-540-73553-3 Springer Berlin Heidelberg New York
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How Neural Computing Can Still Be Unconventional After All These Years Michael A. Arbib USC Brain Project University of Southern California Los Angeles, CA USA 90089-2520 [email protected]
Abstract. Attempts to infer a technology from the computing style of the brain have often focused on general
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