In V. C. Muller (ed.), Philosophy and Theory of Artificial Intelligence. Springer. pp. 17-29 (2011)
Authors |
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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.
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Keywords | Chinese room argument Quantum linguistics |
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Reprint years | 2013 |
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