Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hrvoje Stojic"'
Publikováno v:
Psychological Bulletin
Orquin, J L, Lahm, E S & Stojić, H 2021, ' The visual environment and attention in decision making ', Psychological Bulletin, vol. 147, no. 6, pp. 597-617 . https://doi.org/10.1037/bul0000328
Orquin, J L, Lahm, E S & Stojić, H 2021, ' The visual environment and attention in decision making ', Psychological Bulletin, vol. 147, no. 6, pp. 597-617 . https://doi.org/10.1037/bul0000328
Visual attention is a fundamental aspect of most everyday decisions, and governments and companies spend vast resources competing for the attention of decision makers. In natural environments, choice options differ on a variety of visual factors, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4590b70092a0cd4ba7846080a5cc5980
https://doi.org/10.1037/bul0000328
https://doi.org/10.1037/bul0000328
Autor:
Mathias Goncalves, Jessey Wright, Yaroslav O. Halchenko, Craig A. Moodie, James D. Kent, Oscar Esteban, Tal Yarkoni, Karolina Finc, Matthew Cieslak, Daniel E. P. Gomez, Nir Jacoby, Satrajit S. Ghosh, Hrvoje Stojic, Elizabeth DuPre, Romain Valabregue, Franziskus Liem, Ross Blair, Christopher J. Markiewicz, Sebastian Urchs, Krzysztof J. Gorgolewski, Rastko Ciric, Inge K Amlien, Alejandro de la Vega, Russell A. Poldrack, Zhifang Ye, William Hedley Thompson, Taylor Salo
Publikováno v:
Nat Protoc
Nature Protocols
Nature Protocols
Functional magnetic resonance imaging (fMRI) is a standard tool to investigate the neural correlates of cognition. fMRI noninvasively measures brain activity, allowing identification of patterns evoked by tasks performed during scanning. Despite the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afa36b0cd8a9fb11e0947b4a9456e350
https://doi.org/10.1038/s41596-020-0327-3
https://doi.org/10.1038/s41596-020-0327-3
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Stojić, H, Orquin, J L, Dayan, P, Dolan, R J & Speekenbrink, M 2020, ' Uncertainty in learning, choice, and visual fixation ', Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 6, pp. 3291-3300 . https://doi.org/10.1073/pnas.1911348117
Proc Natl Acad Sci U S A
Stojić, H, Orquin, J L, Dayan, P, Dolan, R J & Speekenbrink, M 2020, ' Uncertainty in learning, choice, and visual fixation ', Proceedings of the National Academy of Sciences of the United States of America, vol. 117, no. 6, pp. 3291-3300 . https://doi.org/10.1073/pnas.1911348117
Proc Natl Acad Sci U S A
Uncertainty plays a critical role in reinforcement learning and decision making. However, exactly how it influences behavior remains unclear. Multiarmed-bandit tasks offer an ideal test bed, since computational tools such as approximate Kalman filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5734d3e8219b393ff932221f0f72ca7c
https://doi.org/10.1073/pnas.1911348117
https://doi.org/10.1073/pnas.1911348117
Autor:
Ashraf Galal Eid, Lachlan Deer, Ranoua Bouchouicha, Jolanda Ygosse-Battisti, Daniel Schoch, Hrvoje Stojic, Peter McGee, Ferdinand M. Vieider
Publikováno v:
JOURNAL OF RISK AND UNCERTAINTY
Gender effects in risk taking have attracted much attention by economists, and remain debated. Loss aversion—the stylized finding that a given loss carries substantially greater weight than a monetarily equivalent gain—is a fundamental driver of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce5b27ae6d97eeb70ad4094d80b1ea9d
https://doi.org/10.1007/s11166-019-09315-3
https://doi.org/10.1007/s11166-019-09315-3
Publikováno v:
Neural Networks
A key feature of sequential decision making under uncertainty is a need to balance between exploiting–choosing the best action according to the current knowledge, and exploring–obtaining information about values of other actions. The multi-armed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2052b13d0ea3d4ed8551d767c1c954f
http://arxiv.org/abs/2101.08699
http://arxiv.org/abs/2101.08699
Publikováno v:
Stojić, H, Olsson, H & Analytis, P P 2020, ' Linear integration and lexicographic models of choice : A cue weight learning perspective ', Journal of Experimental Psychology: Learning Memory and Cognition, vol. 46, no. 10, pp. 1836-1856 . https://doi.org/10.1037/xlm0000853
Choosing between options characterized by multiple cues can be a daunting task. People may integrate all information at hand or just use lexicographic strategies that ignore most of it. Notably, integrative strategies require knowing exact cue weight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd5a47dc5d3d19c2c25da03fbadd27d6
https://pubmed.ncbi.nlm.nih.gov/32406723
https://pubmed.ncbi.nlm.nih.gov/32406723
Publikováno v:
Conference on Cognitive Computational Neuroscience (CCN 2018)
Humans possess a rich repertoire of abstract concepts about which they can often judge their confidence. These judgements help guide behaviour, but the mechanisms underlying them are still poorly understood. Here, we examine the evolution of people's
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d803b9464c4147a8243268ead5ca713
https://hdl.handle.net/21.11116/0000-0003-B430-B
https://hdl.handle.net/21.11116/0000-0003-B430-B
Publikováno v:
University of Southern Denmark
arXiv
Pipergias Analytis, P, Stojic, H, Gelastopoulos, A & Moussaid, M 2017, Diversity of preferences can increase collective welfare in sequential exploration problems . in Collective Intelligence 2017 . 5th conference on Collective Intelligence, New York, United States, 15/06/2017 . < https://arxiv.org/abs/1703.10970 >
arXiv
Pipergias Analytis, P, Stojic, H, Gelastopoulos, A & Moussaid, M 2017, Diversity of preferences can increase collective welfare in sequential exploration problems . in Collective Intelligence 2017 . 5th conference on Collective Intelligence, New York, United States, 15/06/2017 . < https://arxiv.org/abs/1703.10970 >
In search engines, online marketplaces and other human-computer interfaces large collectives of individuals sequentially interact with numerous alternatives of varying quality. In these contexts, trial and error (exploration) is crucial for uncoverin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8baafa31abbea7929d47b2c2c23c6fd8
https://portal.findresearcher.sdu.dk/en/publications/1a41b7ac-29f9-469b-8fc6-2551339849f2
https://portal.findresearcher.sdu.dk/en/publications/1a41b7ac-29f9-469b-8fc6-2551339849f2