Representation of Similar Well-Learned Cognitive Procedures

Continued practice on a task is chorocterized by several quantitative and qualitative changes in performance. The most salient is the speed-up in the time to execute the tosk. To account for these effects, some models of skilled performance have proposed automatic mechanisms that merge knowlege structures associated with the task into fewer, larger structures. The present study investigated how the representation of similor cognitive procedures might interact with the success of such automatic mechanisms. In five experiments, subjects learned complex, multistep mental arithmetic procedures. These procedures included two types of knowledge thought to characterize most cognitive procedures: “component” knowledge for achieving intermediate results and “integrative” knowledge for organizing and integrating intermediate results. Subjects simultaneously practiced two procedures that had either the some component steps or the same integrative structure. Practiceeffect models supported a procedure-independent representation for common component steps. The availability of these common steps for use in a new procedure wos also measured. Steps practiced in the context of two procedures were expected to show greater transfer to o new procedure than steps learned in the context of a single procedure. This did not always occur. A model using component/integrative knowledge distinction reconciled these results by proposing that integrotive knowledge operated on all steps of the procedure: An integral part of the knowledge associated with achieving an intermediate result or state includes how it contributes to later task demands. These results are discussed in the context of automatic mechanisms for skill acquisition.

[1]  B. J. Winer Statistical Principles in Experimental Design , 1992 .

[2]  B. Hayes-Roth Evolution of Cognitive Structures and Processes. , 1977 .

[3]  G. Mandler,et al.  Response factors in human learning. , 1954, Psychological review.

[4]  G. Mandler,et al.  Transfer of training as a function of degree of response overlearning. , 1954, Journal of experimental psychology.

[5]  John R. Anderson,et al.  Complex Learning Processes , 1978 .

[6]  E. Spelke,et al.  Skills of divided attention , 1976, Cognition.

[7]  Barbara Hayes-Roth,et al.  The use of schemata in the acquisition and transfer of knowledge , 1979, Cognitive Psychology.

[8]  Gordon D. Logan,et al.  Attention in Character-Classification Tasks : Evidence for the Automaticity of Component Stages , 1978 .

[9]  Edward H. Shortliffe,et al.  Production Rules as a Representation for a Knowledge-Based Consultation Program , 1977, Artif. Intell..

[10]  Allen and Rosenbloom Paul S. Newell,et al.  Mechanisms of Skill Acquisition and the Law of Practice , 1993 .

[11]  Sher ry Folsom-Meek,et al.  Human Performance , 2020, Nature.

[12]  A. Luchins Mechanization in problem solving: The effect of Einstellung. , 1942 .

[13]  John R. Anderson,et al.  Knowledge Compilation: Mechanisms for the Automatization of Cognitive Skills. , 1980 .

[14]  G. Logan,et al.  On the Use of a Concurrent Memory Load to Measure Attention and Automaticity , 1979 .

[15]  C. P. Duncan Description of learning to learn in human subjects. , 1960, The American journal of psychology.

[16]  J. Thomas An analysis of behavior in the hobbits-orcs problem ☆ , 1974 .

[17]  Allen Newell,et al.  Production Systems: Models of Control Structures , 1973 .