Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mark K Ho"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 6, p e1011087 (2023)
Human behavior emerges from planning over elaborate decompositions of tasks into goals, subgoals, and low-level actions. How are these decompositions created and used? Here, we propose and evaluate a normative framework for task decomposition based o
Externí odkaz:
https://doaj.org/article/91f3fc2c6b55410bb21d5c65ca2bb5cc
Autor:
Mark K. Ho, David Abel, Carlos G. Correa, Michael L. Littman, Jonathan D. Cohen, Thomas L. Griffiths
Publikováno v:
Nature. 606:129-136
One of the most striking features of human cognition is the capacity to plan. Two aspects of human planning stand out: its efficiency and flexibility. Efficiency is especially impressive because plans must often be made in complex environments, and y
Autor:
Kelsey Rebecca Allen, Franziska Brändle, Matthew M. Botvinick, Judith Fan, Samuel J. Gershman, alison gopnik, Thomas L. Griffiths, Joshua K. Hartshorne, Tobias U. Hauser, Mark K Ho, Joshua R de Leeuw, Wei Ji Ma, Kou Murayama, Jonathan D. Nelson, Bas van Opheusden, H. Thomas Pouncy, Janet Rafner, Iyad Rahwan, Robb Rutledge, Jacob Friis Sherson, Ozgur Simsek, Hugo Spiers, Christopher Summerfield, Mirko Thalmann, Natalia Vélez, Andrew Watrous, Joshua Tenenbaum, Eric Schulz
Publikováno v:
Nature Human Behaviour
Video games are played by over 2 billion people spread across the world population, with both children and adults participating. Games have gained popularity as an avenue for studying cognition. We believe that studying cognition using games can gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f26110079c06f321437e9d45bafac41
https://hdl.handle.net/21.11116/0000-000A-B2F9-4
https://hdl.handle.net/21.11116/0000-000A-B2F9-4
Autor:
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Reward is the driving force for reinforcement-learning agents. We here set out to understand the expressivity of Markov reward as a way to capture tasks that we would want an agent to perform. We frame this study around three new abstract notions of
Publikováno v:
AAAI
Planning is useful. It lets people take actions that have desirable long-term consequences. But, planning is hard. It requires thinking about consequences, which consumes limited computational and cognitive resources. Thus, people should plan their a
Publikováno v:
Current Opinion in Behavioral Sciences. 29:111-116
Agents that can make better use of computation, experience, time, and memory can solve a greater range of problems more effectively. A crucial ingredient for managing such finite resources is intelligently chosen abstract representations. But, how do
Publikováno v:
Cognition. 232
People use a wide range of communicative acts across different modalities, from concrete demonstrations to abstract language. While these modalities are typically studied independently, we take a comparative approach and ask when and why one modality
People use a wide range of communicative acts across different modalities, from concrete demonstrations to abstract language. While these modalities are typically studied independently, we take a comparative approach and ask when and why one modality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56f8634e5f0746bac0bb7ff4b253f2eb
https://doi.org/10.31234/osf.io/aurb6
https://doi.org/10.31234/osf.io/aurb6
Publikováno v:
Journal of experimental psychology. General. 150(11)
Theory of mind enables an observer to interpret others' behavior in terms of unobservable beliefs, desires, intentions, feelings, and expectations about the world. This also empowers the person whose behavior is being observed: By intelligently modif
Autor:
Mark K. Ho, Thomas L. Griffiths
Those designing autonomous systems that interact with humans will invariably face questions about how humans think and make decisions. Fortunately, computational cognitive science offers insight into human decision-making using tools that will be fam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bdf93cba82203df14adb7ade0197fb9
http://arxiv.org/abs/2109.00127
http://arxiv.org/abs/2109.00127