{"pk":26797,"title":"A Bayesian Model of Memory for Text","subtitle":null,"abstract":"The study of memory for texts has had an long tradition of re-search in psychology. According to most general accounts oftext memory, the recognition or recall of items in a text is basedon querying a memory representation that is built up on the ba-sis of background knowledge. The objective of this paper is todescribe and thoroughly test a Bayesian model of this generalaccount. In particular, we develop a model that describes howwe use our background knowledge to form memories as a pro-cess of Bayesian inference of the statistical patterns that areinherent in a text, followed by posterior predictive inference ofthe words that are typical of those inferred patterns. This pro-vides us with precise predictions about what words will be re-membered, whether veridically or erroneously, from any giventext. We then test these predictions using data from a memoryexperiment using a relatively large sample of randomly chosentexts from a representative corpus of British English.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Bayesian models; Memory; Reconstructive mem-ory; Text memory;"}],"section":"Talks: Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/2pp181n0","frozenauthors":[{"first_name":"Mark","middle_name":" ","last_name":"Andrews","name_suffix":"","institution":"Nottingham Trent 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/26797/galley/16433/download/"}]}