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Grant: Discovery Grants Program - Individual

University of Manitoba

$80,000.00

A computational and experimental examination of learning, memory, and language

EF 2023-24

Résumé
The aim of my research program is to (a) study and understand how people and other animals learn, remember, think, and know, (b) to develop mathematical models based on that understanding, and (c) to apply those models to the design and development of cognitive technologies (e.g., psychologically valid cognitive search engines). I have broken the problem into three interlinking goals. One line of work uses experimental methods to understand how people intuit that a sentence is grammatical or not and uses those data to derive a computational model of meta-linguistic intuition. Another line of work uses experimental methods to study patterns in peoples' intuitive reasoning and uses those data to develop a computational model of the underlying cognitive processes. A third line of work uses the analyses of meta-linguistic intuition and intuitive reasoning to design and develop cognitive search engines that interpret the meaning of a person's search query and find documents that match the intended meaning. Training in my lab gives students a coordinated knowledge of experimental and computational science so they can bring the wisdom of experimental science to bear on the disciplines of cognitive computing and machine learning. Work in the lab includes collaborations with research laboratories in Canada, America, Spain, and Australia.
Programme
Discovery Grants Program - Individual
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2018-06034
Name nom
Jamieson, Randall
Department département
Psychology
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2018
Award amount
80000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1210
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Psychology
Area of application fr
Psychologie
Research subject code
6306
Research subject group en
Psychology
Research subject group fr
Cognitive science -- language
Research subject en
Psychologie
Research subject fr
Science cognitive -- langage
Application title
A computational and experimental examination of learning, memory, and language
Keyword
Associative learning; Cognitive Science; Cognitive technologies; Computational psychology; Human memory; Implicit learning; Knowledge Representation; Language; Semantic knowledge
Application summary
The aim of my research program is to (a) study and understand how people and other animals learn, remember, think, and know, (b) to develop mathematical models based on that understanding, and (c) to apply those models to the design and development of cognitive technologies (e.g., psychologically valid cognitive search engines). I have broken the problem into three interlinking goals. One line of work uses experimental methods to understand how people intuit that a sentence is grammatical or not and uses those data to derive a computational model of meta-linguistic intuition. Another line of work uses experimental methods to study patterns in peoples' intuitive reasoning and uses those data to develop a computational model of the underlying cognitive processes. A third line of work uses the analyses of meta-linguistic intuition and intuitive reasoning to design and develop cognitive search engines that interpret the meaning of a person's search query and find documents that match the intended meaning. Training in my lab gives students a coordinated knowledge of experimental and computational science so they can bring the wisdom of experimental science to bear on the disciplines of cognitive computing and machine learning. Work in the lab includes collaborations with research laboratories in Canada, America, Spain, and Australia.