Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

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If the Turing test is passed, does this imply that computers exhibit intelligence?

Turing test was created to test machines exhibiting behavior equivalent or indistinguishable from that of a human. Is that the sufficient condition of intelligence?
Xitish
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Is a multilayer perceptron a recursive function?

I read somewhere that a multilayer perceptron is a recursive function in its forward propagation phase. I am not sure, what is the recursive part? For me, I would see an MLP as a chained function. So, it would nice anyone could relate an MLP to a…
user3352632
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How to generalise over multiple simultaneous dependent actions in Reinforcement Learning

I am trying to build an RL agent to price paid-for-seating on commercial flights. I should reiterate here - I am not talking about the price of the ticket - rather, I am talking about the pricing you see if you click on the seat map to choose where…
domdomdom
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What are the available exploration strategies for continuous action space scenarios in RL?

I'm building a deep neural network to serve as the policy estimator in an actor-critic reinforcement learning algorithm for a continuing (not episodic) case. I'm trying to determine how to explore the action space. I have read through this text…
Jed
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Are deep learning models suitable for training with sparse data?

I am training a generative adversarial network (GAN) to generate images given edge histogram descriptor (EHD) features of the image. The EHD features are themselves sparse (meaning they contain a lot of zeroes). While training the generator loss and…
varsh
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Are iterative deepening, principal variation search or quiescence search extensions of alpha-beta pruning?

I know that there are several optimizations for alpha-beta pruning. For example, I have come across iterative deepening, principal variation search, or quiescence search. However, I am a little bit confused about the nature of these algorithms. Are…
JoeyB
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Is 'job title classification' rather a problem of NLP or machine learning?

first of all I want to specify the data available and what needs to be achieved: I have a huge amount of vacancies (in the millions). The information about the job title and the job description of each vacancy are stored separately. I also have a…
Mr. Curious
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Why not teach to a NN not only what is true, but also what is not true?

I'm not a person who studies neural networks, or does anything that is related with that area, but I have seen a couple of seminars, videos (such as 3Blue1Brown's Series), and what I am always told is that we trying the network over some huge…
Our
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Are there human predictions of when a computer would have been better than a human at Go?

I just stumbled across the paper When Will AI Exceed Human Performance? Evidence from AI Experts, which contains a figure showing the aggregated subjective probability of "high-level machine intelligence" arrival by future years. Even if this graph…
Gilfoyle
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How to prevent overfitting in stacked models?

I understand the intuition behind stacking models in machine learning, but even after thorough cross-validation scheme models seem to overfit. Most of the models I have seen in kaggle forums are large ensembles, but seem to overfit very little.
thecomplexitytheorist
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What evolutionary algorithms are there that model epigenetics?

What evolutionary algorithms are there that model or incorporate some notion of epigenetics? What are the pros/cons of those approaches? Are there vast insufficiencies or wide-open questions about their usefulness?
dynrepsys
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Is random initialization of the weights the only choice to break the symmetry?

My knowledge Suppose you have a layer that is fully connected, and that each neuron performs an operation like a = g(w^T * x + b) were a is the output of the neuron, x the input, g our generic activation function, and finally w and b our…
gvgramazio
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Why are GRU and LSTM better than standard RNNs?

It seems that older RNNs have a limitation for their use cases and have been outperformed by other recurrent architectures, such as the LSTM and GRU.
Deep Analytics
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Issue with simple game AI

A few months ago I made a simple game that is similar to the dinosaur game in Google Chrome - you jump over obstacles, or don't jump over levitating obstacles, and jump to collect bitcoins, which can be placed at 5 different heights. I used a very…
Dejan Biljecki
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Why does self-playing tic-tac-toe not become perfect?

I trained a DQN that learns tic-tac-toe by playing against itself with a reward of -1/0/+1 for a loss/draw/win. Every 500 episodes, I test the progress by letting it play some episodes (also 500) against a random player. As shown in the picture…
user3877351
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