Tools
Thornton, Chris (2003) Quantitative Abstraction Theory. Journal of Artificial Intelligence and Simulation of Behaviour, 1 (3). pp. 281-290. ISSN 1476-3036
![]()
|
PDF
Download (1MB) | Preview |
Official URL: http://www.aisb.org.uk/aisbj/tocs/aisbj1-3.shtml
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 |
View download statistics for this item
📧 Request an update