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Frank H. George Memorial Lecture: Stone soup: identifying intelligence through construction

T.R. Addis (School of Computer Science and Mathematics, University of Portsmouth, Portsmouth, UK, and Visiting Research Fellow, Science Studies Centre, Department of Psychology, University of Bath, UK)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 October 2000

355

Abstract

A strictly pragmatic stance is taken in asking the question “What features must be present that makes behaviour intelligent?” The Turing Test is shown to be insufficient to support any useful discussion; intelligence measures (IQ tests) suggest specialisation and little else. On the other hand, Discontinuity Theory identifies “insight” and Information Theory provides a means of measuring the practical consequence of “insight” as well as providing an argument for the need of “purpose” in intelligent behaviour. The Peircian trichotomy of inference into Induction, Deduction and Abduction supports a range of specialisation for the different aspects of reasoning. These aspects can be improved through experience leading to the notion of “wisdom” and a practical measure for the anthropomorphism of intelligence. The simplest kind of intelligence is constructed as a computer program demonstrating that intelligent machines as they are currently conceived are unlikely to be independent of their human context.

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Citation

Addis, T.R. (2000), "Frank H. George Memorial Lecture: Stone soup: identifying intelligence through construction", Kybernetes, Vol. 29 No. 7/8, pp. 849-870. https://doi.org/10.1108/03684920010342017

Publisher

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MCB UP Ltd

Copyright © 2000, MCB UP Limited

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