{"id":{"repo_id":"rice","oai_identifier":"oai:repository.rice.edu:1911/61904"},"canonical_url":"https://search.dev.ndltd.org/etd/rice/oai:repository.rice.edu:1911/61904","repository":{"repo_id":"rice","name":"Rice University","base_url":"https://repository.rice.edu/server/oai/request"},"display":{"title":"A computational model of routine procedural memory","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Tamborello, Franklin Patrick, II"],"institution":"Rice University","degree_name":"Doctor of Philosophy","degree_level":"Doctoral","degree_discipline":"Social Sciences","degree_department":null,"school":null,"contributors":[],"advisors":["Byrne, Michael D."],"committee_chairs":[],"committee_members":["Kortum, Philip T.","Lane, David M.","Autry, Lynette S.","Dannemiller, James L.","Napier, Albert H."],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-24T04:10:15Z","subjects":["Experimental psychology","Cognitive psychology"],"languages":["eng"],"rights":["Copyright is held by the author, unless otherwise indicated. 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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. 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