Article Instance
API Endpoint for journals.
GET /api/articles/27268/?format=api
{ "pk": 27268, "title": "Instrumental Representations of Sensorimotor Control: Representations at\nIntermediate Level", "subtitle": null, "abstract": "In cognitive science, computation is largely accompanied\nwith representational theory of mind. Yet, it remains unclear\nwhether this companionship also appears in the realm of\nsensorimotor control. Grush’s (2004) and Pezzulo’s (2008,\n2011) account of anticipatory representations provide a\nlimited answer, as they are only suitable for forward models,\nbut not the entire sensorimotor control. Rescorla’s (2016)\nrepresentational explanation for sensorimotor psychology\naddresses several intentional states considered in Bayesian\ninference and optimal modeling. However, the above\naccounts does not explain how motor commands are produced\nand chosen in the course of sensorimotor control for\nmaintaining accuracy of goal-achievement. The present paper\naims to explain it with a representational account by\nconsidering instrumental representations of sensorimotor\ncontrol, which appear at the intermediate level and are\nexemplified by motor commands and costs. Such\nrepresentations do not presume decouplability, as they need to\nrun on-line in the maintenance of accuracy.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Sensorimotor control; representation; optimal\nfeedback control; Bayesian decision theory." } ], "section": "Posters: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/3jv7f47b", "frozenauthors": [ { "first_name": "Hsi-wen", "middle_name": "Daniel", "last_name": "Liu", "name_suffix": "", "institution": "Providence University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27268/galley/16904/download/" } ] }