Errors in probabilistic reasoning and judgment biases
DJ Benjamin - Handbook of Behavioral Economics: Applications and …, 2019 - Elsevier
Errors in probabilistic reasoning have been the focus of much psychology research and are
among the original topics of modern behavioral economics. This chapter reviews theory and …
among the original topics of modern behavioral economics. This chapter reviews theory and …
The computational roots of positivity and confirmation biases in reinforcement learning
Humans do not integrate new information objectively: outcomes carrying a positive affective
value and evidence confirming one's own prior belief are overweighed. Until recently …
value and evidence confirming one's own prior belief are overweighed. Until recently …
[HTML][HTML] What is the function of confirmation bias?
U Peters - Erkenntnis, 2022 - Springer
Confirmation bias is one of the most widely discussed epistemically problematic cognitions,
challenging reliable belief formation and the correction of inaccurate views. Given its …
challenging reliable belief formation and the correction of inaccurate views. Given its …
Generalization guides human exploration in vast decision spaces
From foraging for food to learning complex games, many aspects of human behaviour can
be framed as a search problem with a vast space of possible actions. Under finite search …
be framed as a search problem with a vast space of possible actions. Under finite search …
[HTML][HTML] Predicting the development of digital media PCK/TPACK: The role of PCK, motivation to use digital media, interest in and previous experience with digital …
T Schubatzky, JP Burde, R Große-Heilmann… - Computers & …, 2023 - Elsevier
In today's digital age, incorporating technology in teaching has become increasingly
important. To prepare future teachers, understanding the factors that influence the …
important. To prepare future teachers, understanding the factors that influence the …
Advances in modeling learning and decision-making in neuroscience
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 …
“I feel and think, therefore I am”: An Affect-Cognitive Theory of management decisions
M Cristofaro - European Management Journal, 2020 - Elsevier
I propose an Affect-Cognitive Theory to comprehensively understand how decisions occur in
organizations. To this aim, I first review the assumptions of sensemaking and decision …
organizations. To this aim, I first review the assumptions of sensemaking and decision …
Computational mechanisms underlying latent value updating of unchosen actions
Current studies suggest that individuals estimate the value of their choices based on
observed feedback. Here, we ask whether individuals also update the value of their …
observed feedback. Here, we ask whether individuals also update the value of their …
Linking confidence biases to reinforcement-learning processes.
We systematically misjudge our own performance in simple economic tasks. First, we
generally overestimate our ability to make correct choices—a bias called overconfidence …
generally overestimate our ability to make correct choices—a bias called overconfidence …
Information about action outcomes differentially affects learning from self-determined versus imposed choices
V Chambon, H Théro, M Vidal… - Nature Human …, 2020 - nature.com
The valence of new information influences learning rates in humans: good news tends to
receive more weight than bad news. We investigated this learning bias in four experiments …
receive more weight than bad news. We investigated this learning bias in four experiments …