Predicting human interactive learning by regret-driven neural networks.
about
Understanding others' regret: a FMRI studyUsing computational patients to evaluate illness mechanisms in schizophrenia.Regrets associated with providing healthcare: qualitative study of experiences of hospital-based physicians and nurses.Medial prefrontal cortex and striatum mediate the influence of social comparison on the decision process.A role for the striatum in regret-related choice repetition.Neural network models of learning and categorization in multigame experiments.Once bitten, twice shy: experienced regret and non-adaptive choice switchingCounterfactual thinking and emotions: regret and envy learning.Striatal sensitivity to personal responsibility in a regret-based decision-making task.On surprise, change, and the effect of recent outcomes.Toward a general theoretical framework for judgment and decision-makingTransfer of conflict and cooperation from experienced games to new games: a connectionist model of learning.Impact of CAre-related Regret Upon Sleep (ICARUS) cohort study: protocol of a 3-year multicentre, international, prospective cohort study of novice healthcare professionals.Mice learn to avoid regret.Social comparison modulates the neural responses to regret and subsequent risk-taking behaviorHierarchical decision-making produces persistent differences in learning performance
P2860
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P2860
Predicting human interactive learning by regret-driven neural networks.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Predicting human interactive learning by regret-driven neural networks.
@en
Predicting human interactive learning by regret-driven neural networks.
@nl
type
label
Predicting human interactive learning by regret-driven neural networks.
@en
Predicting human interactive learning by regret-driven neural networks.
@nl
prefLabel
Predicting human interactive learning by regret-driven neural networks.
@en
Predicting human interactive learning by regret-driven neural networks.
@nl
P2860
P356
P1433
P1476
Predicting human interactive learning by regret-driven neural networks
@en
P2093
Davide Marchiori
Massimo Warglien
P2860
P304
P356
10.1126/SCIENCE.1151185
P407
P577
2008-02-01T00:00:00Z