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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22
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3answers
1k views

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 ...
14
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2answers
1k views

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) ...
11
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2answers
475 views

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 ...
10
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2answers
231 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 ...
8
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1answer
128 views

Problem understanding the calculation of normative (Bayesian) base rates

I am having trouble understanding Table 1 of Gigerenzer, Hell, and Blank (1988, PDF, table on page 516): Focusing on the Jack row, it is stated that the mean probabilities of Jack being an engineer ...
8
votes
1answer
83 views

Have there been any mechanisms proposed for normalization in probabilistic population codes?

I heard a talk yesterday by Dora Angelaki about multi-sensory integration. Part of the talk was about bayesian inference with multiple noisy sources of information. I know that there has been a lot ...
7
votes
3answers
402 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 ...
7
votes
1answer
100 views

Under what circumstances does the brain devote resources to only the “when” of sensory events?

In a recent review article (Arnal & Giraud, 2012), the authors delve into changes in cortical oscillations which assist in predicting the causes of a sensory stimulus (the "what", via predictive ...
6
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1answer
182 views

Bayesian models of faking in selection and recruitment settings

I'm doing some research looking at applying Bayesian models to faking personality tests in selection and recruitment. I'm interested to know: What existing work has applied Bayesian models to ...
2
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0answers
27 views

What are the differences between Bayesian belief network cognitive maps and fuzzy cognitive maps?

Can somebody explain the differences and advantages between Bayesian belief network cognitive maps and fuzzy cognitive maps? There are very limited resources except for the article, "Application of ...
1
vote
2answers
37 views

How many trials are needed to estimate a response time distribution?

I want to estimate the properties of a response time distribution (mean, variance, tail-length) for individual subjects. How many samples (trials) do I need to collect to get reliable estimates? ...