A Computational Model of Routine Procedural Memory

Date
2009
Journal Title
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Volume Title
Publisher
Rice University
Abstract

Cooper and Shallice (2000) implemented a computational version of the Norman and Shallice’s (1986) Contention Scheduling Model (CSM). The CSM is a hierarchically organized network of action schemas and goals. Botvinick and Plaut (2004) instead took a connectionist approach to modeling routine procedural behavior. They argued in favor of holistic, distributed representation of learned step co-occurrence associations. Two experiments found that people can adapt routine procedural behavior to changing circumstances quite readily and that other factors besides statistical co-occurrence can have influence on action selection. A CSM-inspired ACT-R model of the two experiments is the first to postdict differential error rates across multiple between-subjects conditions and trial types. Results from the behavioral and modeling studies favor a CSM-like theory of human routine procedural memory that uses discrete, hierarchically-organized goal and action representations that are adaptable to new but similar procedures.

Description
This paper was submitted by the author prior to final official version. For official version please see https://scholarship.rice.edu/handle/1911/61904
Degree
Doctor of Philosophy
Type
Keywords
Cognitive modeling, ACT-R, Routine procedure, Human error
Citation

Tamborello, Franklin Patrick, II. "A Computational Model of Routine Procedural Memory." (2009) Rice University: https://hdl.handle.net/1911/21956.

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