CHREST models of implicit learning and board game interpretation

Peter Lane, Fernand Gobet

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

6 Citations (Scopus)


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 board-
game 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.
Original languageEnglish
Title of host publicationProceedings of the Fifth Conference on Artificial General Intelligence
Place of PublicationBerlin, Heidelberg
PublisherSpringer Nature
Number of pages10
VolumeLNAI 7716
Publication statusPublished - 2012


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