Advances in modeling learning and decision-making in neuroscience
AGE Collins, A Shenhav - Neuropsychopharmacology, 2022 - nature.com
An organism's survival depends on its ability to learn about its environment and to make
adaptive decisions in the service of achieving the best possible outcomes in that …
adaptive decisions in the service of achieving the best possible outcomes in that …
[HTML][HTML] The visual environment and attention in decision making.
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 …
companies spend vast resources competing for the attention of decision makers. In natural …
Value-based attention but not divisive normalization influences decisions with multiple alternatives
S Gluth, N Kern, M Kortmann, CL Vitali - Nature human behaviour, 2020 - nature.com
Violations of economic rationality principles in choices between three or more options are
critical for understanding the neural and cognitive mechanisms of decision-making. A recent …
critical for understanding the neural and cognitive mechanisms of decision-making. A recent …
Computational rationality as a theory of interaction
How do people interact with computers? This fundamental question was asked by Card,
Moran, and Newell in 1983 with a proposition to frame it as a question about human …
Moran, and Newell in 1983 with a proposition to frame it as a question about human …
Visual attention modulates the integration of goal-relevant evidence and not value
When choosing between options, such as food items presented in plain view, people tend to
choose the option they spend longer looking at. The prevailing interpretation is that visual …
choose the option they spend longer looking at. The prevailing interpretation is that visual …
Optimal policy for attention-modulated decisions explains human fixation behavior
AI Jang, R Sharma, J Drugowitsch - Elife, 2021 - elifesciences.org
Traditional accumulation-to-bound decision-making models assume that all choice options
are processed with equal attention. In real life decisions, however, humans alternate their …
are processed with equal attention. In real life decisions, however, humans alternate their …
Towards machines that understand people
The ability to estimate the state of a human partner is an insufficient basis on which to build
cooperative agents. Also needed is an ability to predict how people adapt their behavior in …
cooperative agents. Also needed is an ability to predict how people adapt their behavior in …
What comes to mind?
When solving problems, like making predictions or choices, people often “sample”
possibilities into mind. Here, we consider whether there is structure to the kinds of thoughts …
possibilities into mind. Here, we consider whether there is structure to the kinds of thoughts …
Uncovering the computational mechanisms underlying many-alternative choice
How do we choose when confronted with many alternatives? There is surprisingly little
decision modelling work with large choice sets, despite their prevalence in everyday life …
decision modelling work with large choice sets, despite their prevalence in everyday life …
Value certainty in drift-diffusion models of preferential choice.
The drift-diffusion model (DDM) is widely used and broadly accepted for its ability to account
for binary choices (in both the perceptual and preferential domains) and response times …
for binary choices (in both the perceptual and preferential domains) and response times …