Artificial Intelligence Stack Exchange
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How to solve the problem of too big activations when using genetic algorithms to train neural networks?

I am trying to create a fixed-topology MLP from scratch (with C#), which can solve some simple problems, such as the XOR problem and MNIST classification. The network will be trained purely with genetic algorithms instead of back-propagation. Here…
Joshua Jang
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Why most imperfect information games usually use non machine learning AI?

To provide a bit of context, I'm a software engineer & game enthusiast (card games, especially). The thing is I've always been interested in AI oriented to games. In college, I programmed my own Gomoku AI, so I'm a bit familiar with the basic…
Alexander Aeons Torn
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Did Turing foresee the required capabilities to pass the Turing test?

In Section 1.1 of Artificial Intelligence: A Modern Approach, it is stated that a computer which passes the Turing Test would need 4 capabilities, and that these 4 capabilities comprise most of the field of Artificial Intelligence: natural language…
alwaysLearningABC
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How to compute the derivative of the error with respect to the input of a convolutional layer when the stride is bigger than 1?

I read that to compute the derivative of the error with respect to the input of a convolution layer is the same to make of a convolution between deltas of the next layer and the weight matrix rotated by $180°$, i.e. something…
volperossa
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Are all fully observable environments episodic?

According to the definition of a fully observable environment in Russell & Norvig, AIMA (2nd ed), pages 41-44, an environment is only fully observable if it requires zero memory for an agent to perform optimally, that is, all relevant information is…
Francis M. Bacon
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How is the gradient calculated for the middle layer's weights?

I am trying to understand backpropagation. I used a simple neural network with one input $x$, one hidden layer $h$ and one output layer $y$, with weight $w_1$ connecting $x$ to $h$, and $w_2$ connecting $h$ to $y$ $$ x \rightarrow (w_1) \rightarrow…
Eka
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Which functions can't neural networks learn efficiently?

There are a lot of papers that show that neural networks can approximate a wide variety of functions. However, I can't find papers that show the limitations of NNs. What are the limitations of neural networks? Which functions can't neural networks…
user2674414
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Does the recent advent of a Go playing computer represent Artificial Intelligence?

I read that in the spring of 2016 a computer Go program was finally able to beat a professional human for the first time. Now that this milestone has been reached, does that represent a significant advance in artificial intelligence techniques or…
WilliamKF
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Is it possible to implement reinforcement learning using a neural network?

I've implemented the reinforcement learning algorithm for an agent to play snappy bird (a shameless cheap ripoff of flappy bird) utilizing a q-table for storing the history for future lookups. It works and eventually achieves perfect convergence…
Jeff Puckett
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What else can boost iterative deepening with alpha-beta pruning?

I read about minimax, then alpha-beta pruning, and then about iterative deepening. Iterative deepening coupled with alpha-beta pruning proves to quite efficient as compared to alpha-beta alone. I have implemented a game agent that uses iterative…
Suhail Gupta
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Could AI be Picasso if he had never existed?

Picasso said that art is theft, so I'm wondering if it's theoretically possible for AI to be as innovative (or him) if fed all sources of information cut off before he was born. This is a thought experiment, and I want to delve deeper into these…
Lerner Zhang
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Are LLMs "lazy" in their responses?

(Just to preface that I do not have such a great understanding of LLMs and AI in general...) My question is, when I pose a question to a LLM, will it present the fastest response that satisfies the parameters of the query, irrespective whether it is…
Oktarine
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Why do Bellman equations indirectly create a policy?

I was watching a lecture on policy gradients and Bellman equations. And they say that a Bellman equation indirectly creates a policy, while the policy gradient directly learns a policy. Why is this?
echo
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Binary classifier that minimizes false positive error

I have a binary classification problem, where a false positive error has a very big cost compared to the false negative error. Is there a way to design a classifier for such problems (preferably, with an implementation of the algorithm)?
ayyoob imani
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How do I create an AI for a two-players board game?

Goal I want to create an artificial intelligence to compete against other players in a board game. Game explanation I have a board game similar to 'snakes and ladders'. You have to get to a final field before your opponent does. But instead of…
po0l
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