For questions about models and theoretical idealizations of cognitive processes in humans or other animals. Examples include computational, mathematical, and conceptual models.

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5
votes
2answers
129 views

Do humans mentally discretize numbers?

It seems reasonable to me that humans discretize numbers: this number is bigger than than number, or when faced with a series of numbers that range from 0 - 100, 50 is "middling", 10 is "low" and 90 ...
2
votes
2answers
270 views

How to adjust SSE or RMSE for the number of free parameters in the model?

How do I adjust SSE (sum of squared errors) or RMSE (root-mean-square errors) for the number of free parameters in the model? Is there an "adjusted" RMSD metric similar to the adjusted r-squared ...
3
votes
0answers
73 views

What are the most well-understood vocal animal languages?

There are many examples of animal language that involve vocal pattens or "grammar". For example, there is the the Bee dance, bird songs, whale songs, dogs. Bird vocalization includes both bird calls ...
7
votes
2answers
260 views

Best practice to handle double negatives when using the expectancy-value model?

My question is regarding the multiplicative combination rule in the Expectancy-value model developed by Fishbein and Ajzen, and the issues regarding the expectancy value-muddle, or the case of "double ...
2
votes
1answer
59 views

Are there already models for planning and goal-directed behaviour?

I'm interested in planning and how one is able to take action and plan ahead at the same time. I could imagine one could make observations and project these into the future using past experiences. The ...
1
vote
1answer
200 views

How does the brain process concurrent visual or sensory data?

I tried thinking about an apple and simultaneously an orange. (I was thinking about its appearance and taste). Despite my best efforts I was not able to do parallel processing to think about the apple ...
8
votes
1answer
384 views

Attention Theory: is it impossible to avoid distraction?

I remember reading at some point in the literature that humans are unable to avoid distraction from a certain primary task if this task isn't using up close to all available 'resources' - basically ...
15
votes
11answers
486 views

Any work being done on Perception, Action, and/or Cognition in Video games?

Call it a nerd crossover, but I've always been curious about how we play games on a mechanistic level. However, even coming from a rational viewpoint video games seem like a fruitful domain of study, ...
10
votes
3answers
205 views

Is there a random walk theory that can account for situations with more than two choices?

In the article "Two-stage Dynamic Signal Detection: A Theory of Choice, Decision Time, and Confidence" from 2010 by Pleskac and Busemeyer, a random walk model is presented for situations where a ...
3
votes
1answer
75 views

How can pain sensations appear to originate within the person's skull?

I've read that humans have some sort of a kinesthetic model of their body and muscles. This internal representation of the body is used to control and coordinate locomotion. I don't remember if ...
10
votes
2answers
232 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 ...
2
votes
2answers
274 views

What skills are required to build simulations of the human brain? [closed]

I want to build a system that has the ability to gather data from the internet in order to build a cognitive model of the human brain. The model should be able to answer the questions required by a ...
-4
votes
1answer
167 views

Using natural language processing for traffic monitoring from video

I am stuck trying to learn how to use video processing as explained in the linked papers in the area of human behavior detection or traffic surveillance (any kind of monitoring activity). In ...
23
votes
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 ...
6
votes
0answers
178 views

'Model-free' learning in humans

In reinforcement learning, there is a stark distinction between model-based and model-free learning algorithms, where model-free methods don't make use any explicit information about the dynamics of ...
9
votes
1answer
215 views

Are there any connectionist models that integrate reinforcement and fully supervised learning?

I've been working on modeling some phenomena involving real-time control in an environment with inherent rewards (specifically, playing a 'pong'-like game), and it's increasingly looking like ...
9
votes
1answer
147 views

Computational Model Linking Neural Activity to Behavior

A big question in neuroscience is how neural activity represents knowledge. We can use modelling to explore how different levels of neural activity- subthreshold currents, action potentials, local ...
24
votes
4answers
986 views

What are good examples of applying dynamical systems in cognitive science?

I'm a mathematics and physics student very much interested in cognitive science. Recently I've been hearing about "a new approach" in cognitive science via dynamical system theory. What are some ...
7
votes
1answer
115 views

Judgments of similarity between samples of writing

I was thinking last night about the possibility of an experiment that investigates the factors contributing to peoples' judgments of 'stylistic similarity' between two samples of writing. For example, ...
5
votes
1answer
111 views

Need good example of two domains involving different procedural knowledge yet sharing same high-level strategies

Working in the domain of intelligent tutoring systems, I have to prove (or disprove) that explicit teaching of high-level strategies will allow students to use learned strategies across different ...
8
votes
1answer
112 views

Are there shapes defined by 3 (or more) generative parameters whose mapping to psychological similarity space is known?

I am trying to generate 4 shapes that are equidistant in psychological similarity space - meaning that they are all equally discriminable from one another - which differ in 3 parameters, such that ...
6
votes
2answers
147 views

How to computationally model the Wisconsin Card Sorting task? [closed]

The Wisconsin Card Sorting task is rather famous but appears to be quite difficult to model computationally. To respond to @Artem's question, I work in RL and I am interested in how people learn the ...
7
votes
1answer
164 views

What research has modelled the difficulty of mental mathematical calculation?

I posted this also on mathoverflow. What research has modelled the difficulty of evaluating a formula mentally (for your average, numerate, person, not a trained mental calculator)? For instance, ...
10
votes
5answers
313 views

Visual search: complexity of positive vs negative search tasks

Thinking about experiments where participants perform visual search tasks, I remember hearing in a Cog Psych lecture that if the instructions of the task were of the form "find the element that has ...
5
votes
1answer
116 views

Perceptual flicker when rotating my face

Informal Experiment: I look up at a wooden beam on the ceiling, or I look at the office door; both the door and the ceiling are about 2 meters from my face. I rotate my face 90 degrees left or right ...
7
votes
3answers
407 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 ...
2
votes
1answer
109 views

Combinatorial woes

I am interested in the creation of chunks (aka configural nodes) from smaller chunks and input features (only interested in System 1 cognition). Unitization studies (e.g. Goldstone (pdf)), suggest ...
6
votes
2answers
316 views

What can cognitive psychology tell us about the results of the Stanford Prison Experiment?

One of the experiments that are always taught as prime examples of social psychology in action is the Stanford Prison Experiment In 1971, Zimbardo accepted a tenured position as professor of ...