Reference : CogEnv: A Reinforcement Learning Environment for Cognitive Tests
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/55225
CogEnv: A Reinforcement Learning Environment for Cognitive Tests
English
Ansarinia, Morteza mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)]
Clocher, Brice [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)]
Defossez, Aurélien [> >]
Schmück, Emmanuel [> >]
Cardoso-Leite, Pedro mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)]
2022
2022 Conference on Cognitive Computational Neuroscience
Yes
2022 Conference on Cognitive Computational Neuroscience
2022
San Francisco
US
[en] Understanding human cognition involves developing computational models that mimic and possibly explain behavior; these are models that “act” like humans and produce similar outputs when facing the same inputs. To facilitate the development of such models and ultimately further our understanding of the human mind we created CogEnv: a reinforcement learning environment where artificial agents interact with and learn to perform cognitive tests and can then be directly compared to humans. By leveraging CogEnv, cognitive and AI scientists can join efforts to better understand human cognition: the relative performance profiles of human and artificial agents may provide new insights on the computational basis of human cognition and on what human-like abilities artificial agents may lack.
Fonds National de la Recherche - FnR
Researchers
http://hdl.handle.net/10993/55225
10.32470/CCN.2022.1198-0
https://2022.ccneuro.org/proceedings/0000205.pdf
FnR ; FNR11242114 > Pedro Cardoso-leite > DIGILEARN > Scientifically Validated Digital Learning Environments > 01/06/2017 > 31/01/2023 > 2016

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