Resolving uncertainty in a social world

O FeldmanHall, A Shenhav - Nature human behaviour, 2019 - nature.com
Consider the range of social behaviours we engage in every day. In each case, there are a
multitude of unknowns, reflecting the many sources of uncertainty inherent to social …

Russian-Ukraine armed conflict: Lessons learned on the digital ecosystem

I Aviv, U Ferri - International Journal of Critical Infrastructure Protection, 2023 - Elsevier
Abstract Since February 2022, the Russian-Ukrainian armed conflict significantly impacted
the digital landscape. This study examines the conflict's impacts on the local and global …

Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources

F Lieder, TL Griffiths - Behavioral and brain sciences, 2020 - cambridge.org
Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Rationalization is rational

F Cushman - Behavioral and Brain Sciences, 2020 - cambridge.org
Rationalization occurs when a person has performed an action and then concocts the
beliefs and desires that would have made it rational. Then, people often adjust their own …

Deciding fast and slow: The role of cognitive biases in ai-assisted decision-making

C Rastogi, Y Zhang, D Wei, KR Varshney… - Proceedings of the …, 2022 - dl.acm.org
Several strands of research have aimed to bridge the gap between artificial intelligence (AI)
and human decision-makers in AI-assisted decision-making, where humans are the …

Cognitive biases: Mistakes or missing stakes?

B Enke, U Gneezy, B Hall, D Martin… - Review of Economics …, 2023 - direct.mit.edu
Despite decades of research on heuristics and biases, evidence on the effect of large
incentives on cognitive biases is scant. We test the effect of incentives on four widely …

Rational metareasoning and the plasticity of cognitive control

F Lieder, A Shenhav, S Musslick… - PLoS computational …, 2018 - journals.plos.org
The human brain has the impressive capacity to adapt how it processes information to high-
level goals. While it is known that these cognitive control skills are malleable and can be …

Decision making biases in the allied health professions: a systematic sco** review

R Featherston, LE Downie, AP Vogel, KL Galvin - PLoS One, 2020 - journals.plos.org
Objectives Cognitive and other biases can influence the quality of healthcare decision
making. While substantial research has explored how biases can lead to diagnostic or other …

[PDF][PDF] Bayesian models of cognition

TL Griffiths, C Kemp, JB Tenenbaum - 2008 - kilthub.cmu.edu
For over 200 years, philosophers and mathematicians have be en using probability theory to
describe human cognition. While the theory of prob abilities was first developed as a means …

A neural network framework for cognitive bias

JE Korteling, AM Brouwer, A Toet - Frontiers in psychology, 2018 - frontiersin.org
Human decision-making shows systematic simplifications and deviations from the tenets of
rationality ('heuristics') that may lead to suboptimal decisional outcomes ('cognitive biases') …