Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Speekenbrink, M."'
Publikováno v:
41st Annual Meeting of the Cognitive Science Society (CogSci 2019): Creativity + Cognition + Computation
Proceedings of the 41st Annual Conference of the Cognitive Science Society
Proceedings of the 41st Annual Conference of the Cognitive Science Society
How does time pressure influence attitudes towards uncertainty? When time is limited, do people engage in different exploration strategies? We study human exploration in a range of four-armed bandit tasks with different reward distributions and manip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35453343205d086a5048bfcd73865a5
https://psyarxiv.com/tsxq9
https://psyarxiv.com/tsxq9
Publikováno v:
Advances in Neural Information Processing Systems 29 (NIPS 2016)
How do people learn about complex functional structure? Taking inspiration from other areas of cognitive science, we propose that this is accomplished by harnessing compositionality: complex structure is decomposed into simpler building blocks. We fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::e00d55cd3d24ea0cb4929ee8d91ed9ba
https://hdl.handle.net/21.11116/0000-0006-B41E-E
https://hdl.handle.net/21.11116/0000-0006-B41E-E
Publikováno v:
NIPS Workshop Bayesian Optimization: Black-box Optimization and Beyond (BayesOpt 2016)
How does misspecifying prior smoothness assumptions about the target function affect the performance of Bayesian optimization routines? We show that misspecifying smoothness leads to an increase in regret, that this effect gets worse in higher dimens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::50261ca495228a4fa0b954f29c95ad19
https://hdl.handle.net/21.11116/0000-0006-B41A-2
https://hdl.handle.net/21.11116/0000-0006-B41A-2
Autor:
Fuhrmann, D., Knoll, L. J., Sakhardande, A. L., Speekenbrink, M., Kadosh, K. C., Blakemore, S. -J.
Publikováno v:
Scientific Reports
Most studies on the development of face cognition abilities have focussed on childhood, with early maturation accounts contending that face cognition abilities are mature by 3-5 years. Late maturation accounts, in contrast, propose that some aspects
Publikováno v:
Proceedings of the 38th Annual Conference of the Cognitive Science Society
38th Annual Meeting of the Cognitive Science Society (CogSci 2016): Recognizing and Representing Events
38th Annual Meeting of the Cognitive Science Society (CogSci 2016): Recognizing and Representing Events
How can heuristic strategies emerge from smaller building blocks? We propose Approximate Bayesian Computation as a computational solution to this problem. As a first proof of concept, we demonstrate how a heuristic decision strategy such as Take The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c377f25b235d05cbc3d4a2bfad9f863
http://arxiv.org/abs/1605.01598
http://arxiv.org/abs/1605.01598
Publikováno v:
38th Annual Meeting of the Cognitive Science Society (CogSci 2016): Recognizing and Representing Events
Exploration-exploitation of functions, that is learning and optimizing a mapping between inputs and expected outputs, is ubiquitous to many real world situations. These situations sometimes require us to avoid certain outcomes at all cost, for exampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7349f4c61caa735377f963b18dd3a6cb
Akademický článek
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Multitasking is part of the everyday lives of both adolescents and adults. We often multitask during social interactions by simultaneously keeping track of other non-social information. Here, we examined how keeping track of non-social information im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::99e9874506bc86410757a2f12bd3920c
https://eprints.bbk.ac.uk/id/eprint/13695/1/13695.pdf
https://eprints.bbk.ac.uk/id/eprint/13695/1/13695.pdf
Publikováno v:
37th Annual Meeting of the Cognitive Science Society (CogSci 2015): Mind, Technology and Society
How do we perceive the predictability of functions? We derive a rational measure of a function’s predictability based on Gaussian process learning curves. Using this measure, we show that the smoothness of a function can be more important to predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::b62c28b00063bfccc604e890e06549d9
https://hdl.handle.net/21.11116/0000-0006-B437-1
https://hdl.handle.net/21.11116/0000-0006-B437-1