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{ "pk": 26516, "title": "Episodic memory as a prerequisite for online updates of model structure", "subtitle": null, "abstract": "Human learning in complex environments critically dependson the ability to perform model selection, that is to assess com-peting hypotheses about the structure of the environment. Im-portantly, information is accumulated continuously, which ne-cessitates an online process for model selection. While modelselection in human learning has been explored extensively, it isunclear how memory systems support learning in an online set-ting. We formulate a semantic learner and demonstrate that on-line learning on open model spaces results in a delicate choicebetween either tracking a possibly infinite number of compet-ing models or retaining experiences in an intact form. Sincenone of these choices is feasible for a bounded-resource mem-ory system, we propose an episodic learner that retains an op-timised subset of experiences in addition to semantic memory.On a simple model system we demonstrate that this norma-tive theory of episodic memory can effectively circumvent thechallenge of online model selection.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "episodic memory; semantic memory; onlinemodel selection; Bayesian modeling; bounded-resource-rationality" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/9rz56360", "frozenauthors": [ { "first_name": "David", "middle_name": "G.", "last_name": "Nagy", "name_suffix": "", "institution": "Wigner Research Centre for Physics", "department": "" }, { "first_name": "Gergo", "middle_name": "", "last_name": "Orban", "name_suffix": "", "institution": "Eotvos Lorand University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26516/galley/16152/download/" } ] }