Skip to main content

Information: Course and Recourse

  • Conference paper
Evolution of Information Processing Systems

Abstract

The principal aim of this paper is to find guidelines, for the author himself and also possibly for the wider community of information theorists, along which to arrange conceptually the various ideas on information. At the surface level, there seems to be no fundamental unity that links these papers; mine is no exception. Every author assumes this or that particular meaning for the term “information”, then, in turn, they discuss an entailed twin evolution through geological and cultural ages: in other words, the genesis and recognition of information. What is this thing “information”, after all? We could perhaps say “scientific information” instead. This technical term was introduced by Leon Brillouin (1956), perhaps the first to think systematically about the difference between “information” understood in the narrow sense of a measure, and the other thing, which everybody talks about. In fact, he suggested distinguishing entropic (“bound”) and “free” information, and he argued that the latter is just arbitrary. So information is anything we wish. Now I shall reconsider the question in an even wider context to seek another meaning.

Eadem mutata resurgo

(Although changed, I rise again the same. Inscription on the tombstone of J. Bernoulli, student of the logarithmic spiral)

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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.

References

  • Anderson JA, Rosenfeld E (ed.) (1988) Neurocomputing. MIT Press, Cambridge

    Google Scholar 

  • Ashby WR (1956) An Introduction to Cybernetics. Chapman and Hall, London

    MATH  Google Scholar 

  • Atlan H (1983) Information Theory. In Cybernetics: Theory and Applications (ed: Trappl, R), Hamisphere, Washington, pp 9–41

    Google Scholar 

  • Ausiello G (1983) Complessità di calcolo delle funzioni. Editore Boringhieri, Torino (also in Hungarian)

    Google Scholar 

  • Bar-Hillel Y, Carnap R (1952) An Outline of a Theory of Semantic Information. Technical Report No 247 of the Research Laboratory of Electronics, MIT; reprinted in Bar-Hillel, Y: Language and Information. Addison-Wesley, Reading, Mass., 1964

    MATH  Google Scholar 

  • Bechtel W, Abrahamsen A (1991) Connectionism and the Mind. Basil Black well, New York.

    Google Scholar 

  • Brillouin L (1956) Science and Information Theory. Academic Press, New York

    MATH  Google Scholar 

  • Buchler J (1966) Metaphysics of Natural Complexes. Columbia Univ Press, New York

    Google Scholar 

  • Cariani P (1989) On the Design of Devices with Emergent Semantic Functions. Ph.D. thesis, Department of Systems Science, SUNY at Binghamton, New York

    Google Scholar 

  • Csányi V (1989) Evolutionary Systems and Society: A General Theory. Duke University Press, Durham

    Google Scholar 

  • Csányi V (1991) Chap IV.3 in this volume

    Google Scholar 

  • Haken H (1991) Chap III.3 in this volume

    Google Scholar 

  • Hopfield J (1982) Neural Networks and Physical Systems with Emergent Selective Computational Abilities. Proc Natl Acad Sci USA 79, 2554

    Article  MathSciNet  Google Scholar 

  • IJTP (1982) Physics of Computation. Papers presented at the conference on Physics and Computation held on May 6–8, 1981 at MIT’s conference center at Endicott House, Dedham, Mass. International Journal of Theoretical Physics 21, no. 3/4

    Google Scholar 

  • Kampis G (1991a) Self-Modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information, and Complexity. Pergamon, Oxford

    Google Scholar 

  • Kampis G (1991b) Chap II.4 in this volume

    Google Scholar 

  • Kampis G (ed.) (1991c) Creativity in Nature, Mind, and Society. Special Issue of World Futures: The Journal of General Evolution, Gordon and Breach (in press)

    Google Scholar 

  • Kien J (1991) Chap IV.2 in this volume

    Google Scholar 

  • Laszlo E (1991) Chap II.2 in this volume

    Google Scholar 

  • Machlup F, Mansfield V (eds) (1983) The Study of Information. Wiley, New York

    Google Scholar 

  • MacKay DM (1950) Quantal Aspects of Scientific Information. Phil Mag 41, 289–311

    MATH  Google Scholar 

  • Minch E (1987) The Representation of Hierarchical Structure in Evolving Networks. Ph.D. thesis, Department of Systems Science, SUNY at Binghamton, New York

    Google Scholar 

  • Minsky M (1977) Frame-System Theory. In; Thinking (ed. Johnson-Laird, PN, Wason P), Cambridge Univ Press, Cambridge, pp 355–376

    Google Scholar 

  • Morris Ch (1946) Signs, Language, and Behavior. Braziller, New York

    Google Scholar 

  • Nicolis J (1985) Chaotic Dynamics of Information Processing with Relevance to Cognitive Brain Functions. Kyternetes 14, 167–172

    Article  MathSciNet  Google Scholar 

  • Pylyshyn ZW (ed.) (1986) The Robot’s Dilemma, Ablex Publ, Norwood, NJ

    Google Scholar 

  • Requardt M (1991) Chap III.1 in this volume

    Google Scholar 

  • Roszak T (1986) The Cult of Information: The Folklore of Computers and the True Art of Thinking. Pantheon, New York

    Google Scholar 

  • Semenov A (1991) Chap II.3 in this volume

    Google Scholar 

  • Smolensky P (1988) On the Proper Treatment of Connectionism. Behav Brain Sci 11, 1–74

    Article  Google Scholar 

  • Spencer-Brown G (1969) Laws of Form. Allen and Unwin, London

    Google Scholar 

  • Tsuda I (1991) Chaotic Itineraries as Dynamical Basis of Hermeneutic Processes in the Brain. In: Kampis 1991c

    Google Scholar 

  • Wittgenstein L (1922) Tractatus Logico-Philosophicus. Routledge and Kegan Paul, London

    MATH  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kampis, G. (1992). Information: Course and Recourse. In: Haefner, K. (eds) Evolution of Information Processing Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77211-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-77211-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77213-9

  • Online ISBN: 978-3-642-77211-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics