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Combining Optimality Theory and a Cognitive Architecture
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Misker, Jan M. V. & Anderson, John R.. Combining Optimality Theory and a Cognitive Architecture. Retrieved from https://doi.org/doi:10.7282/T3MP518G

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TitleCombining Optimality Theory and a Cognitive Architecture
PublisherUniversitäts-Verlag Bamberg
NameMisker, Jan M. V. (Author); Anderson, John R. (Author)
Date Created2003
SubjectLearnability, Language Acquisition, Cognitive Modeling, Learning, Language acquisition, Optimality theory (Linguistics)
Extent6 p.
DescriptionOptimality Theory (OT) has had a lot of attention from the linguistics research community but also still largely lacks cognitive grounding. We used the ACT-R cognitive architecture to gain greater insight into the cognitive grounding issues that OT needs to address, most notably the GEN process and the learning of the constraint ranking. A generic ACT-R 5.0 model was developed guided by OT principles. The generic model was instantiated in two specific models, one for syllabification and one for past tense formation. Realistic perception data was used to train the models, both were successful in learning the correct constraint ranking for their domain. This result partly bridges the gap between Optimality Theory and ACT-R, providing OT with a better cognitive grounding and ACT-R with better linguistic capabilities.
NoteThe definitive version of this paper was published in Proceedings of the Fifth International Conference on Cognitive Modeling
NoteMisker, Jan A.V. & Anderson, John R. (2003). Combining Optimality Theory and a Cognitive Architecture. In f. Detje, D. Dorner, H. & Schaub, (Eds.): The logic of cognitive systems: Proceedings of the Fifth International Conference on Cognitive Modeling. Bamberg: Universitäts-Verlag Bamberg.
GenreConference Paper or Lecture
Persistent URLhttps://doi.org/doi:10.7282/T3MP518G
LanguageEnglish
CollectionRutgers Optimality Archive
Organization NameRutgers, The State University of New Jersey
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