Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Richard Cooper 0002

dblp:83/4929 · also Richard P. Cooper 0002 · DBLP profile ↗
← Back
17ranked-venue papers
5as first author
2since 2021 · last 2024
0000-0002-1548-914XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 17 · 5 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 14 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
cognitive modeling
0.011996
A Systematic Methodology for Cognitive Modelling · Artif. Intell. 1996
Computational social science and digital humanities
cognitive science
0.011996
A Systematic Methodology for Cognitive Modelling · Artif. Intell. 1996

Methods — techniques the papers use, named apart from their topics

cognitive modelling methodology · 0.0
YearPublicationVenuePosition
2024 Error in Sequential Action: An Evaluation of a Competence Model
Richard Cooper 0002
CogSci1
2024 Using mobile fNIRS to explore the development of goal-directed action sequence planning in freely moving preschoolers
Lisanne Schröer, Paola Pinti, Richard Cooper 0002, Denis Mareschal
CogSci3
2020 Automatic and Controlled Sentence Production: A Computational Model
Eugene Buyakin, Richard Cooper 0002
CogSci2
2020 A Mechanistic Account of Model-Free / Model-Based Trade-off and its Change Across Development
Aude Carteron, Denis Mareschal, Richard Cooper 0002
CogSci3
2020 Striatal and Cortical Components of Inattentional Responses: An Experimental and Computational Study of theWisconsin Card Sorting Test in Adults with ADHD traits
Andrea Caso, Richard Cooper 0002
CogSci2
2019 Executive Functions in Aging: An Experimental and Computational Study of the Wisconsin Card Sorting Task
Andrea Caso, Richard Cooper 0002
CogSci2
2019 Everyday Activities
Holger Schultheis, Richard Cooper 0002
CogSci2
2017 A Model of Cognitive Control in the Wisconsin Card Sorting Test: Integrating Schema Theory and Basal Ganglia Function
Andrea Caso, Richard Cooper 0002
CogSci2
2017 Symposium on Problem Solving and Goal-Directed Sequential Activity
Pat Langley, Richard Cooper 0002
CogSci2
2017 Relevance Theory, Pragmatic Inference and Cognitive Architecture
Richard Cooper 0002
CogSci2
2015 Task-set inhibition, conflict, and the n-2 repetition cost: A computational model of task switching
Nicholas Sexton, Richard Cooper 0002
CogSci2
2013 Modelling the Supervisory System and Frontal Dysfunction: An Architecturally Grounded Model of the Wisconsin Card Sorting Task
Mariam Sood, Richard Cooper 0002
CogSci2
2012 Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science
Chris Eliasmith, Thomas L. Griffiths 0001, Valerie Gray Hardcastle, Bradley C. Love, William Bechtel, Richard Cooper 0002, David Peebles
CogSci6
2011 Cognitive Control in the Generation of Random Sequences: A Computational Study of Secondary Task Effects
Richard Cooper 0002
CogSci1
2002 Control and Communication in Mental Computation
abstract
Frawley is correct to stress the importance of control in cognitive processing, and the essence of his proposal — that disorders of cognition can result from either within-module or between-module breakdown — is an interesting and potentially important contribution to cognitive science. However, Frawley’s commitment to an overly-literal interpretation of the computational metaphor, combined with his confusion over the possible relationship between any putative language of thought and modularity in peripheral versus central processes, distracts and detracts from his work. In particular, mental processes can employ a language of thought without that language being in any way similar to standard functional or procedural programming languages. In addition, communication between (peripheral) modules does not need to be bound by a single language. Furthermore, the absence of a plausible computational system within which to demonstrate the logic/control distinction and its consequences for the language disorders under discussion weakens the within-module/betweenmodule argument. The computational metaphor — that the brain is like a computer — may be accepted at any one of many different levels. At one extreme, one may accept merely that the functions computed by the neural hardware are subject to the constraints of computability theory. Thus, as Frawley notes, this
Richard Cooper 0002
Comput. Intell.1
1996 A Systematic Methodology for Cognitive Modelling
Richard Cooper 0002, John Fox 0001, Jonny Farringdon, Tim Shallice
Artif. Intell.1
1991 Coordination In Unification-Based Grammars
Richard Cooper 0002
EACL1