Quantitative abstraction theory
journal contributionposted on 2023-06-07, 14:15 authored by Chris ThorntonChris Thornton
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.
JournalJournal of Artificial Intelligence and Simulation of Behaviour
Department affiliated with
- Informatics Publications
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