Questions tagged [cognitive-science]

For questions about use and applications of cognitive science in the field of AI and vice versa.

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What does "cognitive" mean when saying cognitive neural network?

I sometimes hear the term cognitive neural networks thrown around. What does the word "cognitive" specify when discussing a neural network? From https://en.wikipedia.org/wiki/Neural_network ...
Intrastellar Explorer's user avatar
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What is an epistemic graph in AI and how is it related to cognitive science?

I found this paper Epistemic graphs for representing and reasoning with positive and negative influences of arguments. I haven't found any definition of or Wikipedia article on epistemic graphs on the ...
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Why can't cognitive architectures achieve general intelligence?

Newbie here. I recently read about cognitive architectures (see: https://en.wikipedia.org/wiki/Cognitive_architecture). They are supposed to be modeled after the human mind and represent a promising ...
Anonymous's user avatar
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What are the scientific journals dedicated to artificial general intelligence?

Apart from Journal of Artificial General Intelligence (a peer-reviewed open-access academic journal, owned by the Artificial General Intelligence Society (AGIS)), are there any other journals (or ...
nbro's user avatar
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Is the Cognitive Approach (SOAR) equivalent to the Chinese Room argument?

Soar is a cognitive architecture. https://en.wikipedia.org/wiki/Soar_(cognitive_architecture) https://soar.eecs.umich.edu/ There is something called "the Chinese box" or "Chinese room" argument: ...
EngrStudent's user avatar
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Can Microsoft's cognitive service find similar person in a set of images without using the face service?

I need to create an application that can detect if a person X entered as an input exists in an image set and return as output all the images in which the person X exists. The problem is that the ...
H.Mateur's user avatar
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Which loss function is the brain optimizing in order to learn advanced visual skills without expert/human supervision?

In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) ...
Pablo Messina's user avatar
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Can AI research lead to new findings in general cognitive science?

Can AI be used as a tool to investigate our minds? To be more precise, what am I specifically asking for here are examples of discoveries on artificial intelligence (so algorithms, programs and ...
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How can we create eXplainable Artificial Intelligence? [duplicate]

Currently, we can build the Artificial Intelligence (AI) approaches that respectively explain their actions within the use of goal trees 1. By moving up and down across the tree, it keeps tracking the ...
Francisco Maria Calisto's user avatar
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What were the criticisms of the BACON algorithm?

The BACON algorithm, introduced by Pat Langley and Herbert Simon etc. were meant to automate scientific discovery -- producing causal explanation to variations in given data. It was found, in ...
user289661's user avatar
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Can a brain be intelligent without a body? [duplicate]

The dialog context Turing proposed at the end of the description of his famous test, "Will the interrogator decide wrongly as often when the game is played like this as he does when the game is ...
Douglas Daseeco's user avatar
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What is the importance of the endocannabinoid system for cognitive function?

The endocannabinoid system is a very important function of human biology. Unfortunately, due to the illegality of cannabis, it is a relatively new field of study. I have read a few articles about ...
Cannabijoy's user avatar
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What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models' principles be applied to AI?

What is the state of the art in models of how the human brain performs goal-directed decision making? Can these models’ principles and insights be applied to the field of Artificial Intelligence, e.g. ...
xwb's user avatar
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Why are we asking "How can we simulate the brain?"

As I've thought about AI, and what I understand of the problems that we face in the creation of it, I've noticed a recurring pattern: we always seem to be asking ourselves, "how can we better ...
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Examples of "crossmodal" integration failures in artificial cognitive systems

I was wondering if anyone can think of any examples of integration of audio-visual inputs, or other modalities, failing or resulting in undesired outcomes in artificial cognitive systems? I'm ...
Docconcoct's user avatar
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Is the neuron adequately comprehended?

It is possible that the signal handling of a neuron is outside the engineering comprehension of the most astute of human brains, even after the relationships of inputs to outputs are statistically ...
Douglas Daseeco's user avatar
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2 answers
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Do dreams have a similar role to backpropagation in deep learning?

Humans often dream of random events that occurred during the day. Could the reason for this be that our brains are backpropagating errors while we sleep, and we see the result of these "...
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What is wrong with the idea that the AI will be capable of omniscience?

In the context of artificial intelligence, the singularity refers to the advent of an artificial general intelligence capable of recursive self-improvement, leading to the rapid emergence of ...
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How can we connect artificial intelligence with cognitive psychology?

On page 62 of Artificial Intelligence and Cognitive Psychology Applications, Models (2010), Gabriella Daróczy writes Psychology is one of the basic sciences of artificial intelligence (AI). The ...
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What is the difference between artificial intelligence and cognitive science?

Sometimes I understand that people doing cognitive science try to avoid the term artificial intelligence. The feeling I get is that there is a need to put some distance to the GOFAI. Another ...
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