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Information and Intelligence

  • Tom AddisEmail author
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

The key to understanding intelligence is ‘information’, since it is information that is the raw material used to gain insight. So we need to appreciate ‘information’ in a very precise way. The next section will explore a formal definition of ‘information’ to see if this will help us. It may also give us a different perception of intelligence.

Keywords

Uncertainty Entropy HQ Wisdom 

References

  1. Peirce CS (1958) Science and philosophy: collected papers of Charles S. Peirce, vol 7. Harvard University Press, CambridgeGoogle Scholar
  2. Peirce CS (1966) The fixation of belief. In: Weiner PP (ed) Charles Peirce: selected writings. Dover, New York, pp 92–260Google Scholar
  3. Shannon CE, Weaver W (1964) The mathematical theory of communication. University of Illinois Press, Urbana, (first published 1948)Google Scholar
  4. Wittgenstein L (1921) Tractatus logico-philosophicus (English edition 1961). Routledge and Kegan Paul, LondonGoogle Scholar
  5. Zakaria MS (1994) A framework for machine intelligence based on the pragmatic approach. A Doctor of Philosophy Thesis submitted to the Faculty of Science, Reading University UKGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.University of Portsmouth School of ComputingPortsmouthUnited Kingdom

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