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Population of Linear Experts: Knowledge Partitioning and Function Learning
2004
Psychological review
Knowledge partitioning is a theoretical construct holding that knowledge is not always integrated and homogeneous but may be separated into independent parcels containing mutually contradictory information. Knowledge partitioning has been observed in research on expertise, categorization, and function learning. This article presents a theory of function learning (the population of linear experts model-POLE) that assumes people partition their knowledge whenever they are presented with a complex
doi:10.1037/0033-295x.111.4.1072
pmid:15482074
fatcat:tehdeyasgfeblazcpmjo66h344