AI, Quantum Information, and External Semantic Realism: Searle’s Observer-Relativity and Chinese Room, Revisited View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Yoshihiro Maruyama

ABSTRACT

John Searle contrived two arguments on the (im)possibility of artificial intelligence: the Chinese room argument and the one based upon the observer-relativity of computation. In the present article, I aim at elucidating implications of his arguments to (ontic) pancomputationalism and the quantum informational view of the universe as advocated by David Deutsch, Seth Lloyd, and Bob Coecke. I argue that Searle’s arguments and the infinite regress paradox of simulating the universe yield critical challenges to pancomputationalism and the quantum informational view of the universe, leading us to the concept of weak and strong information physics, just like the concept of weak and strong artificial intelligence. More specifically, in the first part of the article, I argue that (quantum) pancomputationalism cannot be maintained under Searle’s external realism; however, a radical antirealist position, such as Wheeler’s (“It from Bit”), may allow for a possibility of pancomputationalism. In the second part, I argue that Michael Dummett’s principle of manifestation on linguistic understanding commits Searle to semantic realism, due to the nature of his Chinese room argument. Searle’s position must thus be realism in two senses, that is, it must be external and semantic realism. In order to shed light on further implications of the Chinese room argument, I finally focus upon categorical quantum mechanics and a quantum version of the Chinese room argument. More... »

PAGES

115-127

References to SciGraph publications

  • 2013. ‘Quantum Linguistics’ and Searle’s Chinese Room Argument in PHILOSOPHY AND THEORY OF ARTIFICIAL INTELLIGENCE
  • Book

    TITLE

    Fundamental Issues of Artificial Intelligence

    ISBN

    978-3-319-26483-7
    978-3-319-26485-1

    Author Affiliations

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-26485-1_8

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    http://dx.doi.org/10.1007/978-3-319-26485-1_8

    DIMENSIONS

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