Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marta Kryven"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 11, p e1012582 (2024)
How people plan is an active area of research in cognitive science, neuroscience, and artificial intelligence. However, tasks traditionally used to study planning in the laboratory tend to be constrained to artificial environments, such as Chess and
Externí odkaz:
https://doaj.org/article/36a97785970544c8bca7234fe0eca6e9
From foraging for food to choosing a career, many decisions in life involve multi-step planning: choices made early ondetermine which choices will become available later. How do people plan in such contexts? We present a spatial MazeSearch Task (MST)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb351d4a984696db1b9a4e7a32ef3c0
https://doi.org/10.31234/osf.io/epmxf
https://doi.org/10.31234/osf.io/epmxf
Publikováno v:
Journal of Vision. 22:3644
Publikováno v:
Cognitive scienceREFERENCES. 45(9)
Humans routinely make inferences about both the contents and the workings of other minds based on observed actions. People consider what others want or know, but also how intelligent, rational, or attentive they might be. Here, we introduce a new met
Humans make efficient plans during everydaynavigation and natural spatial search, while these tasks still remainchallenging for algorithms. Which mental computationalmodels do we have that makes this possible? We investigatethree computational princi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7974370b3a7a6ed91fdc6691e513d95
https://doi.org/10.31234/osf.io/r5hd4
https://doi.org/10.31234/osf.io/r5hd4
Autor:
Marta Kryven, Alessandro Rizzo, Joshua B. Tenenbaum, Yulun Zhou, Christian Bongiorno, Carlo Ratti, Paolo Santi, David Theurel
Publikováno v:
Nature (Lond.) (2021). doi:10.1038/s43588-021-00130-y
info:cnr-pdr/source/autori:C. Bongiorno (1)(2); Y. Zhou (1)(3); M. Kryven (4); D. Theurel (5); A. Rizzo (6); P. Santi (1)(7); J. Tenenbaum (4); C. Ratti (1)/titolo:Vector-based Pedestrian Navigation in Cities/doi:10.1038%2Fs43588-021-00130-y/rivista:Nature (Lond.)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:C. Bongiorno (1)(2); Y. Zhou (1)(3); M. Kryven (4); D. Theurel (5); A. Rizzo (6); P. Santi (1)(7); J. Tenenbaum (4); C. Ratti (1)/titolo:Vector-based Pedestrian Navigation in Cities/doi:10.1038%2Fs43588-021-00130-y/rivista:Nature (Lond.)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume
How do pedestrians choose their paths within city street networks? Human path planning has been extensively studied at the aggregate level of mobility flows, and at the individual level with strictly designed behavioural experiments. However, a compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ab6b9746120be2707e3440c2cf912f7
Autor:
John Muchovej, Aviv Netanyahu, Marta Kryven, Andrei Barbu, Nakul Shenoy, Tomer Ullman, Tianmin Shu, Josh Tenenbaum, Boris Katz
Publikováno v:
Journal of Vision. 21:2463
Teaching the societal consequences of computer science: new ideas for increasing student involvement
Publikováno v:
ITiCSE
Almost every university has an upper year course in which students read, discuss and write about the implications for society of advances in computer science. This paper describes our experience updating Waterloo University's version over three offer
Autor:
Kryven, Marta1 (AUTHOR) mkryven@mit.edu, Yu, Suhyoun2 (AUTHOR), Kleiman-Weiner, Max1 (AUTHOR), Ullman, Tomer2 (AUTHOR), Tenenbaum, Joshua2 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 11/12/2024, Vol. 20 Issue 11, p1-21. 21p.
Autor:
Marta Kryven, William Cowan
Publikováno v:
SAP
Water is fluid and changeable, its colour and shape are determined by its environment. For example, deep and shallow water require very different physical simulations [Darles et al. 2011]. Yet humans effortlessly discriminate between water and non-wa