‘Quantum Linguistics’ and Searle’s Chinese Room Argument View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2013

AUTHORS

John Mark Bishop , Slawomir J. Nasuto , Bob Coecke

ABSTRACT

Viewed in the light of the remarkable performance of ‘Watson’ - IBMs proprietary artificial intelligence computer system capable of answering questions posed in natural language - on the US general knowledge quiz show ‘Jeopardy’, we review two experiments on formal systems - one in the domain of quantum physics, the other involving a pictographic languaging game - whereby behaviour seemingly characteristic of domain understanding is generated by the mere mechanical application of simple rules. By re-examining both experiments in the context of Searle’s Chinese Room Argument, we suggest their results merely endorse Searle’s core intuition: that ‘syntactical manipulation of symbols is not sufficient for semantics’. Although, pace Watson, some artificial intelligence practitioners have suggested that more complex, higher-level operations on formal symbols are required to instantiate understanding in computational systems, we show that even high-level calls to Google translate would not enable a computer qua ‘formal symbol processor’ to understand the language it processes. We thus conclude that even the most recent developments in ‘quantum linguistics’ will not enable computational systems to genuinely understand natural language. More... »

PAGES

17-28

Book

TITLE

Philosophy and Theory of Artificial Intelligence

ISBN

978-3-642-31673-9
978-3-642-31674-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-31674-6_2

DOI

http://dx.doi.org/10.1007/978-3-642-31674-6_2

DIMENSIONS

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