For questions about the Bayesian framework for cognitive modeling. The field is concerned with studying the effectiveness of modeling humans as Bayesian agents, and inferring their mental states based on these models. For general Bayesian inference as used in statistics, use the statistics tag.
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What are some of the drawbacks to probabilistic models of cognition?
Probabilistic approaches to modelling cognition are increasing in popularity and being encouraged within the field (Chater, Tanenbaum, & Yuille, 2006).
What are some of the arguments against or ...
8
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3answers
261 views
Introductory resources on bayesian modeling for cognitive sciences
On Cross Validated there is a great question about best introductory books for bayesian statistics. Also, Jeromy Anglim blogged recently about use of JAGS, rjags, and Bayesian Modelling, with some ...
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2answers
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What tasks does Bayesian decision-making model poorly?
Bayesianism has been a relatively successful paradigm for modeling decision-making. However, not every psychologist is a bayesian, and there are tasks such as the Tversky & Shafir (1992) ...
10
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2answers
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Biological plausibility of bayesian models of cognition
Inspired by this question: What are drawbacks to probabilistic models of cognition?
I would like to know more about the biological plausibility of Bayesian models of cognition. Is there any neural ...
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2answers
167 views
How can the success of Bayesian models be reconciled with demonstrations of heuristic and biased reasoning?
In recent years, Bayesian models of cognition have been used - with considerable success - to explain human reasoning in a variety of inferential tasks (Chater, Tenenbaum, & Yuille, 2006). These ...
