Tagged Questions

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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2
votes
2answers
67 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? ...
8
votes
1answer
85 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 ...
8
votes
1answer
131 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 ...
7
votes
1answer
101 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 ...
14
votes
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) ...
10
votes
2answers
239 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 ...
6
votes
1answer
185 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 ...
7
votes
3answers
420 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 ...
12
votes
2answers
489 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 ...
23
votes
3answers
2k 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 ...