Rationalizing constraints on the capacity for cognitive control

S Musslick, JD Cohen - Trends in Cognitive Sciences, 2021 - cell.com
Humans are remarkably limited in:(i) how many control-dependent tasks they can execute
simultaneously, and (ii) how intensely they can focus on a single task. These limitations are …

Motivation and cognitive control in depression

I Grahek, A Shenhav, S Musslick, RM Krebs… - Neuroscience & …, 2019 - Elsevier
Depression is linked to deficits in cognitive control and a host of other cognitive impairments
arise as a consequence of these deficits. Despite of their important role in depression, there …

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 …

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 …

[PDF][PDF] Why does the mind wander?

J Shepherd - Neuroscience of Consciousness, 2019 - academic.oup.com
I seek an explanation for the etiology and the function of mind wandering episodes. My
proposal—which I call the cognitive control proposal—is that mind wandering is a form of …

Advancing theorizing about fast-and-slow thinking

W De Neys - Behavioral and Brain Sciences, 2023 - cambridge.org
Human reasoning is often conceived as an interplay between a more intuitive and deliberate
thought process. In the last 50 years, influential fast-and-slow dual-process models that …

Strategy selection as rational metareasoning.

F Lieder, TL Griffiths - Psychological review, 2017 - psycnet.apa.org
Many contemporary accounts of human reasoning assume that the mind is equipped with
multiple heuristics that could be deployed to perform a given task. This raises the question of …

Doing more with less: meta-reasoning and meta-learning in humans and machines

TL Griffiths, F Callaway, MB Chang, E Grant… - Current Opinion in …, 2019 - Elsevier
Artificial intelligence systems use an increasing amount of computation and data to solve
very specific problems. By contrast, human minds solve a wide range of problems using a …

Three challenges for AI-assisted decision-making

M Steyvers, A Kumar - Perspectives on Psychological …, 2023 - journals.sagepub.com
Artificial intelligence (AI) has the potential to improve human decision-making by providing
decision recommendations and problem-relevant information to assist human decision …

An integrative effort: Bridging motivational intensity theory and recent neurocomputational and neuronal models of effort and control allocation.

N Silvestrini, S Musslick, AS Berry… - Psychological …, 2023 - psycnet.apa.org
An increasing number of cognitive, neurobiological, and computational models have been
proposed in the last decade, seeking to explain how humans allocate physical or cognitive …