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CHREST models of implicit learning and board game interpretation

Lane, Peter and Gobet, Fernand ORCID: 0000-0002-9317-6886 (2012) CHREST models of implicit learning and board game interpretation. In: Bach, Joscha, Goertzel, Ben and Iklé, Matthew, (eds.) Artificial General Intelligence: 5th International Conference, AGI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Berlin / Heidelberg, London, UK, 148 - 157. ISBN 9783642355059

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Identification Number: 10.1007/978-3-642-35506-6_16


A general theory of intelligence must include learning, the process of converting experiences into retrievable memories. We present two CHREST models to illustrate the effects of learning across two different time scales (minutes and years, respectively). The first is an illustration of implicit learning, checking the validity of strings drawn from an artificial grammar. The second looks at the interpretation of boardgame positions. The same learning and retrieval mechanisms are used in both cases, and we argue that CHREST can be used by an artificial general intelligence to construct and access declarative memory.

Item Type: Book Section
Official URL:
Additional Information: © 2012 Springer-Verlag Berlin Heidelberg
Divisions: CPNSS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
B Philosophy. Psychology. Religion > BC Logic
Date Deposited: 10 Dec 2019 09:00
Last Modified: 16 May 2024 05:52

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