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- W78349053 abstract "This chapter argues that people need to separate the issue of implicit learning from the issue of conscious access to implicitly acquired knowledge, noting that Merlin Donald's cognitive evolutionary theory can provide the ‘big picture’. It introduces classifier systems as an architecture for modelling the evolution of different knowledge systems, and uses this framework to examine evidence on the implicit learning of abstract knowledge. The chapter suggests that the tell-tale sign of implicitly acquired knowledge is fragmentary knowledge – not completely non-conscious knowledge. As far as explicit learning is concerned, it suggests that its function is to weave fragments of implicitly acquired knowledge into a coherent story. The chapter proposes that this leads to dissociations between what people say they are doing (reflective knowledge) and their actual behaviour (experiental knowledge)." @default.
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- W78349053 date "1997-10-16" @default.
- W78349053 modified "2023-10-03" @default.
- W78349053 title "Abstractness of implicit knowledge: A cognitive evolutionary perspective" @default.
- W78349053 doi "https://doi.org/10.1093/acprof:oso/9780198523512.003.0002" @default.
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