Thornton, Chris (2003) Quantitative Abstraction Theory. Journal of Artificial Intelligence and Simulation of Behaviour, 1 (3). pp. 281-290. ISSN 1476-3036

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Abstract

A quantitative theory of abstraction is presented. The central feature of this is a growth formula defining the number of abstractions which may be formed by an individual agent in a given context. Implications of the theory for artificial intelligence and cognitive psychology are explored. Its possible applications to the issue of implicit v. explicit learning are also discussed.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Informatics
Subjects:	Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User:	Chris Keene
Date Deposited:	29 Feb 2008
Last Modified:	13 Mar 2017 20:57
URI:	http://srodev.sussex.ac.uk/id/eprint/1464
Google Scholar:	2 Citations

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