Quantitative abstraction theory

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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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: 24 Sep 2019 15:30
URI: http://sro.sussex.ac.uk/id/eprint/1464
Google Scholar:2 Citations

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