Skip to main content

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 50))

  • 87 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography and Comments

The following selection of books may serve to elucidate the general background

  • H. Gardner: The Mind’s New Science. A History of the Cognitive Revolution ( Basic Books, New York 1985 )

    Google Scholar 

  • S. Grossberg: Studies of Mind and Brain ( Reidel, Boston 1982 )

    Book  MATH  Google Scholar 

  • H. Haken, M. Stadler (eds.): Synergetics of Cognition, Springer Ser. Syn. (Springer, Berlin, Heidelberg 1990 )

    Google Scholar 

  • 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 

  • R. Pfeifer, Z. Schreter, F. Fogelman-Soulie (eds): Connectionism in Perspective ( North-Holland, Amsterdam 1989 )

    MATH  Google Scholar 

  • R. Rosenblatt: Principles of Neurodynamics ( Spartan Books, New York 1962 )

    MATH  Google Scholar 

  • 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 

  • T. J. Sejnowski, C. R. Rosenberg: Complex systems 3, 145 (1987)

    Google Scholar 

  • P. D. Wasserman: Neural Computing, Theory and Practice ( Van Nostrand Reinhold, New York 1989 )

    Google Scholar 

1. 1 Why a New Computer Concept?

  • L. B. Almeida: Neural Computers. Proceedings of the NATO ARW on Neural Computers, Düsseldorf (Springer, Berlin, Heidelberg 1987 )

    Google Scholar 

  • S. Amari: IEEE Trans. C-21, 1197–1206 (1972)

    Google Scholar 

  • 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)

    Google Scholar 

  • E. R. Caianiello (ed.): Parallel Architectures and Neural Networks ( World Scientific, Singapore 1988 )

    Google Scholar 

  • E. R. Caianiello: J. Theor. Biol. 1, 209 (1961)

    Article  MathSciNet  Google Scholar 

  • K. Fukushima: A neural network for visual pattern recognition. Computer, March 1980, pp. 65–75

    Google Scholar 

  • K. Fukushima: Cognitron: A self-organizing multilayered neural network, Biol. Cybern. 20, 121–136 (1975)

    Google Scholar 

  • K. Fukushima: Neural networks I, 119–130 (1988)

    Article  Google Scholar 

  • J. J. Hopfield: Proc. Natl. Acad. Sci. 79, 2554–2558 (1982)

    Article  MathSciNet  ADS  Google Scholar 

  • W. S. McCulloch, W. H. Pitts: Bull. Math. Biophys. 5, 115–133 (1943)

    Google Scholar 

  • M. Minsky, S. Papert: Perceptrons: A Introduction to Computational Geometry ( MIT Press, Cambridge, MA 1969 )

    Google Scholar 

  • R. Rosenblatt: Principles of Neurodynamics ( Spartan Books, New York 1962 )

    MATH  Google Scholar 

  • For still other concepts see:

    Google Scholar 

  • W. D. Hillis: The Connection Machine ( MIT Press, Cambridge, MA 1985 )

    Google Scholar 

  • G. Carpenter, S. Grossberg: The art of adaptive pattern recognition by a self-organizing neural network, Computer, March 1980, pp. 77–87

    Google Scholar 

  • H. For the concept of the Turing machine see:

    Google Scholar 

  • A. M. Turing: Proc. London Math. Soc. Series 2, 42, 230 (1936)

    MathSciNet  Google Scholar 

1.2 What is Synergetics about? Pattern Recognition as Pattern Formation

  • I. Haken: Advanced Synergetics. Instability Hierarchies of Self-Organizing Systems and Devices. Springer Ser. Syn. Vol. 20. 2nd printing (Springer, Berlin, Heidelberg, 1987 )

    Google Scholar 

  • H. Haken: Synergetics. An Introduction. 3rd ed. Springer Ser. Syn. Vol. 1 ( Springer, Berlin, Heidelberg 1987 )

    Google Scholar 

  • H. Haken: Information and Self-Organization. Springer Ser. Syn. Vol. 40 ( Springer, Berlin, Heidelberg 1988 )

    Google Scholar 

  • H. Haken: In Computational Systems, Natural and Artificial. Ed. by H. Haken. Springer Ser. Syn. Vol. 38 ( Springer, Berlin, Heidelberg 1987 )

    Google Scholar 

  • E. L. Koschmieder: Adv. Chem. Phys. 26, 177 (1977)

    Article  Google Scholar 

  • A. T. Winfree: Private communication

    Google Scholar 

1. 3 Cognitive Processes and Synergetic Computers

  • M. L. Minsky: The Society of Mind (Simon and Schuster, New York 1986 )

    Google Scholar 

  • A. Newell, H. A. Simon: Human Problem Solving (Prentice-Hall, Engelwood Cliffs, NJ 1972) P. Smolensky: Behavioral and brain sciences 11, 1–23 (1988)

    Article  Google Scholar 

  • P. Smolensky: Behavioral and brain sciences 11, 1–23 (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Haken, H. (1991). Goal. In: Synergetic Computers and Cognition. Springer Series in Synergetics, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-22450-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-22450-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-22452-6

  • Online ISBN: 978-3-662-22450-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics