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abstract: 'In this paper I will present a detailed ACT-R model of how the task-specific knowledge for a new, complex task is learned. The model is capable of acquiring its knowledge through experience, using a declarative representation that is gradually compiled into a procedural representation. The model exhibits several characteristics that concur with Fitt�s theory of skill learning, and can be used to show that individual differences in working memory capacity initially have a large impact on performance, but that this impact diminished after sufficient experience. Some preliminary experimental data support these findings.'
altloc:
- http://tcw2.ppsw.rug.nl/prepublications/prepubsTCW-99-4.pdf
chapter: ~
commentary: ~
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confdates: August 19-21
conference: 21th annual conference of the cognitive science society
confloc: 'Vancouver, Canada'
contact_email: ~
creators_id: []
creators_name:
- family: Taatgen
given: Niels A.
honourific: ''
lineage: ''
date: 1999
date_type: published
datestamp: 1999-02-19
department: ~
dir: disk0/00/00/07/99
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eprint_status: archive
eprintid: 799
fileinfo: /style/images/fileicons/application_pdf.png;/799/3/prepubsTCW%2D99%2D4.pdf
full_text_status: public
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keywords: 'cognitive modelling, cognitive modeling, ACT-R, skill learning, scheduling, working memory, working memory capacity, individual differences, procedural memory'
lastmod: 2011-03-11 08:54:17
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metadata_visibility: show
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referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:34:30
subjects:
- cog-psy
- comp-sci-art-intel
- comp-sci-mach-learn
succeeds: ~
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title: A model of learning task-specific knowledge for a new task
type: confpaper
userid: 398
volume: ~