Learning about things that never happened: A critique and refinement of the Rescorla-Wagner update rule when many outcomes are possible.
A vector-based model of discriminative learning is presented. It is demonstrated to learn association strengths identical to the Rescorla–Wagner model under certain parameter settings (Rescorla & Wagner, 1972, Classical Conditioning II: Current Research and Theory, 2, 64–99). For other parameter set...
| Publicado en: | Memory & Cognition Vol. 47; no. 7; pp. 1415 - 1431 |
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| Formato: | Artículo |
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Springer Nature
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=139215523&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 139215523 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Oct2019 vid: 47 iid: 7 pid: 237 pub: Springer Nature artinfo: ui: 139215523 10.3758/s13421-019-00942-4 ppf: 1415 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Learning about things that never happened: A critique and refinement of the Rescorla-Wagner update rule when many outcomes are possible. aug: au: Hollis, Geoff affil: Department of Computing Science, University of Alberta, 3-39 Athabasca Hall, T6G 2E9, Edmonton, AB, Canada su: Algorithms Conceptual structures Learning strategies Phonological awareness sug: subj: Algorithms Conceptual structures Learning strategies Phonological awareness keyword: Associative learning Discriminative learning Language acquisition Lexical processing Rescorla–Wagner model Associative learning Discriminative learning Language acquisition Lexical processing Rescorla–Wagner model ab: A vector-based model of discriminative learning is presented. It is demonstrated to learn association strengths identical to the Rescorla–Wagner model under certain parameter settings (Rescorla & Wagner, 1972, Classical Conditioning II: Current Research and Theory, 2, 64–99). For other parameter settings, it approximates the association strengths learned by the Rescorla–Wagner model. I argue that the Rescorla–Wagner model has conceptual details that exclude it as an algorithmically plausible model of learning. The vector learning model, however, does not suffer from the same conceptual issues. Finally, we demonstrate that the vector learning model provides insight into how animals might learn the semantics of stimuli rather than just their associations. Results for simulations of language processing experiments are reported. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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