The study of what actions an agent should take in a stochastic environment in order to maximize a cumulative reward.

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17 views

Evidence for different learning applied to negative and positive feedback

I was consulting a friend of mine while building a cognitive model for the Wisconsin Card Sorting Task and he mentioned that it's important to note that people respond differently to to positive ...
4
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1answer
62 views

What is an acquired taste?

Some foods are delicious. People love eating them, and the experience has a positive reinforcement. Thus, people will eat the food again. Some foods are instead "challenging", at least initially. For ...
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1answer
126 views

Evidence that positive rewards are learnt faster than negative rewards?

Its folk psychology wisdom that its easier to reward positive behavior than punish negative behavior (e.g. any book on parenting or dog training), but is there any evidence in the cognitive science ...
3
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35 views

How do mammals explore state spaces in reinforcement learning tasks?

Reinforcement learning is the act of learning how to preform a task given punishment and reward. A "state-space" is the space of choices in a context. When performing a reinforcement learning task, is ...
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10 views

Brain areas active while learning hierarchical structure of a problem

There are multiple examples in the machine learning literature of trying to learn the hierarchical structure of a reinforcement learning problem, however have there been any papers tying this learning ...
5
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90 views

Why has behaviourism fallen out of favour?

Despite the catchy title, I'm not interested in personal opinions here. I am however, interested in feedback on how to better phrase the question so as to avoid personal opinions. After some ...
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0answers
35 views

Frequency estimation in binary prediction task

In a binary prediction task, people often match choice probabilities to outcome probabilities (a phenomenon known as probability matching). However, under certain circumstances (eg, existence of a ...
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2answers
53 views

How do humans learn to combine tasks?

I've been reading about hierarchical learning (a variant of reinforcement learning from what I understand) and how it is shown to allow learning of a higher-level task (the main example is assembly). ...
0
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1answer
55 views

What evidence is there to suggest that delayed gratification is taught and learned and not genetic?

Every evening I spend considerable time and energy trying to get my kids to eat their dinner, holding off treats such as chips or dessert. My experience was that my parents did the same. I have ...
0
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1answer
224 views

What causes behavioural inhibition?

There are obvious consequences that prevent people from behaving anti-socially or criminally. However there are many behaviours that are within the bounds of social norms, yet there seems to be some ...
2
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1answer
53 views

Is it possible to create an inhibition against some activities?

There is an unexplained psychological reason that causes one not to be able to do some random activities (for instance, not being able to eat several days because one's mouth just won't open to take ...
9
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1answer
215 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 ...
10
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1answer
78 views

What salient features of a {conditioned stimulus,unconditioned stimulus} pair are represented in the lateral amygdala?

In classical conditioning, a conditioned stimulus (CS, e.g., a tone) is presented just before an unconditioned stimulus (UCS, e.g., a mild toe pinch) in repeated trials, such that the CS will ...
8
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279 views

Refinements of Rescorla-Wagner model of classical conditioning

The Rescorla-Wagner model is one of the most commonly discussed mathematical models of classical conditioning. It was wildly popular when it came out in 1972, and very successful. The same math, is ...
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639 views
+50

How does goal-tracking and sign-tracking behaviour vary across species?

In Pavlonian (Classical) Conditioning, conditioned responses of an animal may vary. Some animals focus on the unconditioned stimulus (ie. food / location of food) while others may focus on the ...
10
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1answer
222 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 ...