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Goal

  • Hermann Haken
Chapter
Part of the Springer Series in Synergetics book series (SSSYN, volume 50)

Abstract

The purpose of this book is at least three-fold.
  1. 1)

    It presents a new computer concept with explicit examples of its applications.

     
  2. 2)

    It shows how synergetics leads us to the idea that pattern recognition and, more generally, cognitive processes can be conceived as spontaneous pattern formation.

     
  3. 3)

    It provides the reader with new models of cognitive processes.

     

Keywords

Pattern Recognition Cognitive Process Neural Computer Interdisciplinary Field Serial Computer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Reference

  1. H. Gardner: The Mind’s New Science. A History of the Cognitive Revolution ( Basic Books, New York 1985 )Google Scholar
  2. S. Grossberg: Studies of Mind and Brain ( Reidel, Boston 1982 )zbMATHCrossRefGoogle Scholar
  3. H. Haken, M. Stadler (eds.): Synergetics of Cognition, Springer Ser. Syn. (Springer, Berlin, Heidelberg 1990 )Google Scholar
  4. D. O. Hebb: The Organization of Behavior. A Neurophysiological Theory (Wiley, New York 1948 ) A. Newell, H. A. Simon: Human Problem Solving ( Prentice-Hall, Englewood Cliffs, NJ 1972 )Google Scholar
  5. R. Pfeifer, Z. Schreter, F. Fogelman-Soulie (eds): Connectionism in Perspective (North-HollandGoogle Scholar
  6. Amsterdam 1989)Google Scholar
  7. R. Rosenblatt: Principles of Neurodynamics ( Spartan Books, New York 1962 )zbMATHGoogle Scholar
  8. D.E. Rumelhart, J. L. McClelland, and the P.D.P. Research Group: Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vols. 1 and 2 ( Cambridge University Press, Cambridge 1986 )Google Scholar
  9. T.J. Sejnowski, C.R. Rosenberg: Complex systems 3, 145 (1987)Google Scholar
  10. P.D. Wasserman: Neural Computing, Theory and Practice ( Van Nostrand Reinhold, New York 1989 )Google Scholar

1.1 Why a New Computer Concept

  1. L.B. Almeida: Neural Computers. Proceedings of the NATO ARW on Neural Computers, Düsseldorf (Springer, Berlin, Heidelberg 1987 )Google Scholar
  2. S. Amari• IEEE Trans. C-21, 1197 —1206 (1972)Google Scholar
  3. D.J. Amit, H. Gutfreund, H. Sompolinsky: Phys. Rev. A 32, 1007 —1018 (1985a) D. J. Amit, H. Gutfreund, H. Sompolinsky: Phys. Rev. Lett. 55, 1530–1533 (1985b)ADSCrossRefGoogle Scholar
  4. E. R. Caianiello (ed.): Parallel Architectures and Neural Networks ( World Scientific, Singapore 1988 )Google Scholar
  5. E.R. Caianiello: J. Theor. Biol. 1, 209 (1961)MathSciNetCrossRefGoogle Scholar
  6. K. Fukushima: A neural network for visual pattern recognition. Computer, March 1980, pp. 65 — 75 K. Fukushima: Cognitron: A self-organizing multilayered neural network, Biol. Cybern. 20, 121–136 (1975)CrossRefGoogle Scholar
  7. K. Fukushima: Neural networks I, 119–130 (1988)CrossRefGoogle Scholar
  8. J.J. Hopfield: Proc. Natl. Acad. Sci. 79, 2554–2558 (1982)MathSciNetADSCrossRefGoogle Scholar
  9. W.S. McCulloch, W.H. Pitts: Bull. Math. Biophys. 5, 115 —133 (1943)Google Scholar
  10. M. Minsky, S. Papert: Perceptrons: A Introduction to Computational Geometry ( MIT Press, Cambridge, MA 1969 )Google Scholar
  11. R. Rosenblatt: Principles of Neurodynamics ( Spartan Books, New York 1962 )zbMATHGoogle Scholar
  12. F. Rosenblatt: Psychological Review 65 (6), 386–408 (1958)MathSciNetCrossRefGoogle Scholar
  13. For still other concepts see:Google Scholar
  14. W. D. Hillis: The Connection Machine ( MIT Press, Cambridge, MA 1985 )Google Scholar
  15. G. Carpenter, S. Grossberg: The art of adaptive pattern recognition by a self-organizing neural network, Computer, March 1980, pp. 77–87Google Scholar
  16. A.M. Turing: Proc. London Math. Soc. Series 2, 42, 230 (1936)Google Scholar

1.2 What is Synergetics about? Pattern Recognition as Pattern Formation

  1. H. Haken: Advanced Synergetics. Instability Hierarchies of Self-Organizing Systems and Devices. Springer Ser. Syn. Vol. 20. 2nd printing (Springer, Berlin, Heidelberg, 1987 )Google Scholar
  2. H. Haken: Synergetics. An Introduction. 3rd ed. Springer Ser. Syn. Vol. 1 ( Springer, Berlin, Heidelberg 1987 )Google Scholar
  3. H. Haken: Information and Self-Organization. Springer Ser. Syn. Vol. 40 ( Springer, Berlin, Heidelberg 1988 )Google Scholar
  4. H. Haken: In Computational Systems, Natural and Artificial. Ed. by H. Haken. Springer Ser. Syn. Vol. 38 ( Springer, Berlin, Heidelberg 1987 )Google Scholar
  5. E.L. Koschmieder: Adv. Chem. Phys. 26, 177 (1977)CrossRefGoogle Scholar
  6. A. T. Winfree: Private communicationGoogle Scholar

1.3 Cognitive Processes and Synergetic Computers

  1. M. L. Minsky: The Society of Mind (Simon and Schuster, New York 1986 )Google Scholar
  2. A. Newell, H. A. Simon: Human Problem Solving (Prentice-Hall, Engelwood Cliffs, NJ 1972) P. Smolensky: Behavioral and brain sciences 11, 1— 23 (1988)Google Scholar
  3. P. Smolensky: Behavioral and brain sciences 11, 1–23 (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hermann Haken
    • 1
  1. 1.Institut für Theoretische Physik und SynergetikUniversität StuttgartStuttgartGermany

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