Expertise and hierarchical knowledge representation in chess

Abstract

In two experiments the structure of knowledge representation in chess experts and average players was examined. Pattern-recognition theory explains expertise through the existence of many small, unrelated knowledge units. Recent research stresses the structure of knowledge representations. However, the standard paradigm does not allow for the detection of relations between chunks; the theoretical shift has to be accompanied by a methodological shift. In Experiment 1, by means of a partitioning task, evidence was provided for a hierarchical representation of chess positions. Chess masters formed larger and more complex knowledge units than average players. In Experiment 2, the typicality of the positions was varied. The more typical the positions were, the larger and more coherent the constructed knowledge units were. The greatest differences between both groups occurred in more typical positions. This reflects the experts' ability to relate several knowledge units with one another.