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.
Wisdom is only a comparative quality,
it will not bear a single definition
Marques of Halifax,
Miscellaneous thoughts and reflections late 17th century.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Peirce CS (1958) Science and philosophy: collected papers of Charles S. Peirce, vol 7. Harvard University Press, Cambridge
Peirce CS (1966) The fixation of belief. In: Weiner PP (ed) Charles Peirce: selected writings. Dover, New York, pp 92–260
Shannon CE, Weaver W (1964) The mathematical theory of communication. University of Illinois Press, Urbana, (first published 1948)
Wittgenstein L (1921) Tractatus logico-philosophicus (English edition 1961). Routledge and Kegan Paul, London
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 UK
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Addis, T. (2014). Information and Intelligence. In: Natural and Artificial Reasoning. Advanced Information and Knowledge Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-11286-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-11286-2_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11285-5
Online ISBN: 978-3-319-11286-2
eBook Packages: Computer ScienceComputer Science (R0)