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BIAL Foundation
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File360 - Dissecting dynamical components of complex decision-making using a computer game-based task2019-01

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2018
Location: BF-GMS
Title:
2018 Grants
Start date: 2019-01

Reference code: PT/FB/BL-2018-360
Location: BF-GMS
Title:
360 - Dissecting dynamical components of complex decision-making using a computer game-based task
Duration: 2019-01
Researcher(s):
Gautam Agarwal, Zachary Mainen, Alfonso Renart, Mattia Bergomi
Institution(s): Champalimaud Centre for the Unknown, Lisboa (Portugal)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Language: eng
Notes:
Ongoing project
Author: Agarwal, G.
Secondary author(s):
Mainen, Z., Renart, A., Bergomi, M.
Number of reproductions:
1
Keywords:
Big Data / Planning / Strategy / Skill learning / Psychophysiology

DocumentHumans learning a complex task are picky and sticky2022

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2018
Location: BF-GMS
Title:
2018 Grants
Start date: 2019-01

Reference code: PT/FB/BL-2018-360
Location: BF-GMS
Title:
360 - Dissecting dynamical components of complex decision-making using a computer game-based task
Duration: 2019-01
Researcher(s):
Gautam Agarwal, Zachary Mainen, Alfonso Renart, Mattia Bergomi
Institution(s): Champalimaud Centre for the Unknown, Lisboa (Portugal)
Contents: Contents:
Application form
Correspondence
Research Funding Agreement
Language: eng
Notes:
Ongoing project
Author: Agarwal, G.
Secondary author(s):
Mainen, Z., Renart, A., Bergomi, M.
Number of reproductions:
1
Keywords:
Big Data / Planning / Strategy / Skill learning / Psychophysiology

Reference code: PT/FB/BL-2018-360.02
Location: BF-GMS
Title:
Humans learning a complex task are picky and sticky
Publication year: 2022
URL:
https://2022.ccneuro.org/view_paper.php?PaperNum=1277
Abstract/Results: ABSTRACT:
While neural networks approach human levels of perfor- mance in many complex tasks, they require much more training than humans. This may be because only humans can infer and apply generalizable principles from prior ex- perience (Lake, Ullman, Tenenbaum, & Gershman, 2017). However, the statistics that underlie the human learning process are poorly understood and hard to investigate in the large state spaces found in most complex tasks (van Opheusden & Ma, 2019). We thus designed a cog- nitive task whose potential solutions are few enough for subjects to densely sample policy space, but complex enough to compel intelligent search. We launched the game as a smartphone-based app (hexxed.io) to collect data from 10k human participants. We find that unlike re- inforcement learning agents (Deep-Q Networks ; DQNs), humans (1) search a highly restricted subset of the pol- icy space; (2) attempt even poor solutions many times before discarding them; (3) arrive at the optimal policy suddenly and unpredictably with a “leap of insight”. Our data suggest a “top-down” learning process by which hu- mans propose explanatory solutions which they replace only upon collecting sufficient evidence to the contrary, in contrast to the “bottom-up” learning of DQNs that as- sociates states with rewarding actions
Accessibility: Document exists in file
Language:
eng
Author:
Quendera, T.
Secondary author(s):
Deng, D., Hamidi, M., Bergomi, M., Mainen, Z. F., Agarwal, G.
Document type:
Conference paper
Number of reproductions:
1
Reference:
Quendera, T., Deng, D., Hamidi, M., Bergomi, M., Mainen, Z. F., & Agarwal, G. (2022). Humans learning a complex task are picky and sticky. 2022 Conference on Cognitive Computational Neuroscience. https://doi.org/10.32470/CCN.2022.1277-0
Indexed document: No
Keywords: Problem solving / Search / Intelligence / Skill learning / Decision making / Epiphany

Humans learning a complex task are picky and sticky

Humans learning a complex task are picky and sticky