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A Pre-neural Goal for Artificial Intelligence

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Philosophy and Theory of Artificial Intelligence

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 5))

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Abstract

From its onset, the discipline of Artificial Intelligence aimed at understanding intelligence through a synthetic approach. Over time, progress has been made by considering lower and lower levels of intelligence. I argue that this trend should be completed by its next step by considering pre-neural forms of intelligence as models for AI. To justify the relevance of such primitive cognition to intelligence, I recall the works of Piaget, Jonas and Maturana and Varela. By considering how these authors relate to the question of teleology, I illustrate the kind of insights a pre-neural AI could provide,which pertain to fundamental aspects of natural cognition.

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Authors and Affiliations

  1. University of Lausanne, Lausanne, Switzerland

    Micha Hersch

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  1. Micha Hersch
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Correspondence to Micha Hersch .

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Editors and Affiliations

  1. and University of Oxford, Anatolia College/ACT, Pylaia, 55510, Greece

    Vincent C. Müller

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Hersch, M. (2013). A Pre-neural Goal for Artificial Intelligence. In: Müller, V. (eds) Philosophy and Theory of Artificial Intelligence. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31674-6_16

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  • DOI: https://doi.org/10.1007/978-3-642-31674-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31673-9

  • Online ISBN: 978-3-642-31674-6

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