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1 - Introduction

Published online by Cambridge University Press:  30 November 2009

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Summary

Mind as an emergent property of nervous systems

Three positivist approaches to mind

Mind has always been a mystery and it is fair to say that it is still one. Religions settle this irritating question by assuming that mind is non-material: it is just linked during the duration of a life to the body, a link that death breaks. It must be realized that this metaphysical attitude pervaded even the theorization of natural phenomena: to ‘explain’ why a stone falls and a balloon filled with hot air tends to rise, Aristotle, in the fourth century BC, assumed that stones house a principle (a sort of a mind) which makes them fall and that balloons embed the opposite principle which makes them rise. Similarly Kepler, at the turn of the seventeeth century, thought that the planets were maintained on their elliptical tracks by some immaterial spirits. To cite a last example, chemists were convinced for quite a while that organic molecules could never be synthetized, since their synthesis required the action of a vital principle. Archimedes, about a century after Aristotle, Newton, a century after Kepler, and Wöhler, who carried out the first synthesis of urea by using only mineral materials, disproved these prejudices and, at least for positivists, there is no reason why mind should be kept outside the realm of experimental observation and logical reasoning.

We find in Descartes the first modern approach of mind.

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Publisher: Cambridge University Press
Print publication year: 1992

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  • Introduction
  • Pierre Peretto
  • Book: An Introduction to the Modeling of Neural Networks
  • Online publication: 30 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511622793.002
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  • Introduction
  • Pierre Peretto
  • Book: An Introduction to the Modeling of Neural Networks
  • Online publication: 30 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511622793.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Pierre Peretto
  • Book: An Introduction to the Modeling of Neural Networks
  • Online publication: 30 November 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511622793.002
Available formats
×