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Questions tagged [artificial-intelligence]

For questions about artificial intelligence, the intelligence of machines and robots and the branch of computer science that aims to create it.

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Math requirements for understanding the theory of diffusion probabilistic model

I'm currently computer science major student, with concentration on Artificial Intelligence. Recently, I found that the topic of diffusion model interests me a lot and I started to learn its ...
martin-sy's user avatar
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How to represent a question in FOL (First-order logic) or any other Formalism: exam question

as an exercise I am trying to answer questions from previous year's exams on Artificial Intelligence but I am stuck with the following one, for which I thought FOL would be a good candidate, and I ...
Andrea Gasparini's user avatar
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185 views

Are there attempts to use machine learning to settle disputes over long mathematical proofs?

As far as I remember, The proof of Perelman of the Geometerization Conjecture took a year to check by the experts. The claimed proof of the ABC conjecture Mochizuki took few years to check, and Peter ...
Amr's user avatar
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3 votes
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Is the result of dual function valid?

I have a question about dual function in Machine Learning. According to my understanding, dual problem is: Give a difficult optimization problem: $$\min \limits_x f(x) \\ \text{subject to: } \left \{ \...
MY_NAME_S3M's user avatar
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1 answer
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Manually setting up integral weights of a 2-2-2 neural network.

inputs and outputs are both binary. hidden layer and output layer have biases. function to be modelled is f(i1, i2) = 2 - i1 + i2 transfer function is sigmoid at hidden and output layers, and the ...
aryan's user avatar
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Help with Variational Calculus & Leibnitz Rule

Let $f: (0,\infty)\to \mathbb{R}$ be convex and lower-semicontinuous with $f(1)=0$ and $\mu$, $\hat{\mu}$ be two probability distributions on a measurable space $\mathcal{X}$ which are absolutely ...
pablopez's user avatar
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Question about Long Short-term memory neurons in recurrent neural networks

This is the schematic for an LSTM neuron, given in Wikipedia I have question on output gate. It passes the cell state trough tanh function, which maps the value to an open interval between -1 and 1. ...
Mr. Proper's user avatar
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Can I just confirm my understanding of the Discrete Fourier Transform and the Inverse Discrete Fourier Transform

I am teaching myself how to write artificial intelligence from scratch including all the math myself I have a pretty solid understanding of a neural network and mine is working fairly well I started ...
The Thinkrium's user avatar
-2 votes
1 answer
29 views

When is my lightgbm going to find cut points in random variables that reduce entropy more than a naturally correlated variable with the target? [closed]

In machine learning sometimes we build models using hundreds of variables/features that we don't know (at least at first) if they might have a relation with the target. Usually we find that some of ...
Alejandro Gómez's user avatar
1 vote
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What do I do once I have the Jacobian Matrix from Softmax Derivative

I am teaching myself Artificial Intelligence from scratch without libraries I have a decent handle on most of it UPDATE-EDIT I am lost however on the next step mathematically after deriving the ...
The Thinkrium's user avatar
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1 answer
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Intuition on Mutual information in XAI

Following wikipedia, mutual information $MI(X,Y)$ is 'how much knowledge is in the output of one random variable about the other variable'. If MI between 2 variables is high, this does not mean I know ...
Mathematiger's user avatar
1 vote
1 answer
510 views

Conversion from FOL to CNF

To clarify, I am a newbie to this and am just doing some practice problems out of a text. Just looking for some clarification. The question is to convert $$\forall x \ \text{person}(x) \land [\exists ...
codeing_monkey's user avatar
1 vote
1 answer
109 views

Conditional Probability with four variables [closed]

In the book A First Course in Machine Learning, second edition, by Simon Rogers, page 322, the author states that the joint posterior density over f and y is given by: p(f, y | t, X) = p(t|y) * p(y|f) ...
Adalberto's user avatar
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Can You Help Me Interpret the Meaing of an Relationship between a Vector, Element Symbol, the All Real Values Symbol, and a Variable?

I'm reading a research paper and I'm trying to decipher some mathematical text. It looks like this: $[y_1,...,y_T] \in \mathbb{R}^T$ My best guess is it is saying, "This set contains all real ...
mrcromar's user avatar
-4 votes
2 answers
172 views

Determining the Degree of Counter-Clockwise Rotation at Which a Rectangle's X Coordinate Becomes Non-Negative [closed]

I've been asked to provide context to my original question, so here's the context: The rectangle in the problem below represents a pool table whose "pool table light" cannot be easily moved, ...
Lonnie Best's user avatar
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Can we unify 3 different First Order Logic sets/expressions?

Wherever I searched about unification in first-order logic (FOL) expressions, I could only find it as the unification of "two different logical atomic expressions identical by finding a ...
 Vlogs's user avatar
1 vote
1 answer
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Good books on mathematics of information?

Are there any good books on the mathematics of information, under whose umbrella would fall cryptography, information storing, data processing (i.e. data to information), mathematics of artificial ...
johnp's user avatar
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-1 votes
1 answer
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what's the best way of Inferring chance of heads with a coin of Unknown Bias

hi what would be the best strategy to infer the range of probabilities of getting heads with a coin of Unknown Bias that is variable? Thanks EDIT: Problem specification I'm working on a similar ...
yomama's user avatar
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How can I calculate this repeating power?

I'm considering the stochastic tree. When root node is activated, the $n$ child nodes get the signal. But the probability of activation is $p$. $d$ is index of layer and starts from 1 that is ...
Toast's user avatar
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1 vote
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Breakdown question of single node hidden layer neural networks

I am working on writing a paper about neural networks and have been doing research and I seem to be getting conflicting answers from different articles. For the paper process we are required to submit ...
Sierra Walker's user avatar
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1 answer
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Is there a condition that guarantees that hill climbing will find the optimal solution?

I am studying intro to AI with shortest-path algorithms like A* and hill climbing. I learned that A* is guaranteed to find the optimal solution if the heuristic function ...
tonythestark's user avatar
1 vote
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58 views

Viterbi algorithm for object-tracking

I have a sequence of images, and I need to find and track the creation of the objects, then their movement and then their disappearance. There can be up to $3$ objects overall, and sometimes there are ...
josh92's user avatar
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1 vote
1 answer
148 views

Does "Iterative Policy Evaluation" Guarantee the "Optimal Policy"?

I am reading about "Iterative Policy Evaluation" algorithm in the context of Reinforcement Learning (http://incompleteideas.net/book/ebook/node41.html). If I have understood this correctly - ...
stats_noob's user avatar
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1 answer
679 views

Numerical Experiments: Definition and Examples

Could anybody define the "Numerical Experiment" and provide some examples? Does solving a problem using AI/Machine learning such as Artificial Neural Networks (ANN) or heuristic algorithm ...
user18719278's user avatar
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1 answer
283 views

How to get a maximum and minimum score of dot product similarity metric?

I use this library (https://www.sbert.net/examples/applications/semantic-search/README.html) to perform an information retrieval task. There are two options for the similarity function: dot product ...
muazhari's user avatar
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0 answers
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Time Consumption by a super computer to solve a puzzle

I have a 4x3 cubic picture puzzle with 6 correct answers. Each piece in an inch^3 (l=b=h=inch=2.5cm). I can figure out the arrangements of this puzzle i.e. Each block in the puzzle can move in 24 ways ...
Deep Lifeguard's user avatar
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1 answer
94 views

Modelling a problem in Graph Theory language

I am trying to model the following problem that I found in the AI field in graph theory language, but I have limited experience in graphs. We consider a network of devices. If two devices are close ...
vggls's user avatar
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1 vote
1 answer
1k views

Critic Loss in PPO

TL,DR: How precisely is the critic loss in PPO defined? I am trying to understand the PPO algorithm so that I can implement it. Now I'm somewhat confused when it comes to the critic loss. According to ...
joinijo's user avatar
  • 249
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1 answer
474 views

min max algorithm in Artificial Intelligence

How to understand the meaning of the image in Artificial Intelligence book in chapter 5?
shizhouhu's user avatar
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1 answer
258 views

How can you find a 3-digit number "ABC", such that (ABC)/N = AxBxC ? Here, N=4. [closed]

How can you find a 3-digit number "ABC", such that (ABC)/N = AxBxC ? Here, N=4. Like, if abc/7= axbxc, answer is 735
md jakaria's user avatar
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How to derive Slime Mould Equations

As shown in https://en.wikiversity.org/wiki/Slime_Mould_Algorithm, we have the Slime Mould equations for Approach food and Wrap food. I do not know how to derive these equations. Please help me or ...
Trần Trọng Hoàng Tuấn's user avatar
4 votes
1 answer
1k views

Reference: A rigorous mathematical approach to Deep Learning

I am searching for any reference that has a mathematical (and/or theoretical physics) rigorious approach to key principles in deep learning. While most books that I have came across with are heavily ...
CynthiaZ1998's user avatar
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36 views

Which standard deviation for model averaging?

I hope math stack exchange is the right place for this question, even though it comes from an AI point of view. Say I have a machine learning model and for robustness of results, I initialize it with ...
frederik's user avatar
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1 answer
37 views

ReLU on a feature map

I have produced a feature map, that is 5x3, of a input layer which was 5x7. I have obtained "2:s" and "3:s" and also one "1". The aim is now to use the ReLU neuron on ...
GAUSS's user avatar
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1 vote
0 answers
173 views

Help with Resolution Refutation Problem

I'm trying to convert Solve a Resolution Refutation problem. The problem states: Knowledge Base is ∀𝑥𝑦 𝐹(𝑥, 𝑦). Prove using resolution-refutation that ∀𝑥𝑦 𝐹(𝑦, 𝑥). Note: β = F(y, x) This ...
Baiano42's user avatar
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1 answer
99 views

water jug problem [closed]

The original version of water jug problem is that we have two empty jugs and an infinite source of water and the goal is to find a way to reach a state so that one of the jugs contains a specific ...
kheirq's user avatar
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4 votes
1 answer
195 views

Gödel's Incompleness Theorems and the "Minds vs. Machines" conundrum

As a part of my self-learning about Gödel's Incompleness Theorems, I try to dive a little bit into their different interpretations and (possible) philosophical implications. One that immediately ...
35T41's user avatar
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0 votes
1 answer
165 views

Removing Implication in the Conversion of WFF to Clausal Form

I understand the conversion algorithm, my concern is regarding the first step of 'Removing Implication'. Example: In the following figure when one removes implication, the negation comes before ...
yamini goel's user avatar
-1 votes
1 answer
85 views

Solve this by converting sentences to clausal form? [closed]

If: $E\land R \implies B$ $E\implies R\lor P\lor L$ $K\implies B$ $\lnot(L\land B)$ $P\implies \lnot K$ Which of the following can't be deducted? $E\land P$ $K \land E \implies R$ $L \land P \implies\...
Vahid's user avatar
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4 votes
2 answers
227 views

Can I interpret $\models$ as $\implies$ while proving logical expressions using different techniques?

In the book by Artificial Intelligence by Norvig and Russel, I came across following problem: Prove if correct: $(A ∧ B) \models (A ⇔ B).$ I quickly interpreted $\models$ as $\implies$ and tried to ...
Mahesha999's user avatar
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1 vote
1 answer
589 views

Does empty set entails everything?

I am new to propositional logic, and I am trying to figure out whether the below statement is correct: [a |= c] or [ b |= c] → [a^b |= c] First of all, it is ...
Winston's user avatar
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1 answer
453 views

Determining Independence in Bayesian Network

Consider the Bayesian Network Structure Below, decide whether the statements are true or false. b) $G \perp \!\!\! \perp A$ (G is independent of A) c) $E \perp \!\!\! \perp H | \{D,G\}$ (E and H are ...
Pame's user avatar
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0 votes
1 answer
67 views

You know the probability that an object is dirty. An unreliable sensor tells you its true state. What is the new probability that the object is dirty?

I have encountered a statistics related problem for an AI project that I don't know how to solve, but I'm also nearly statistically illiterate so I'm not sure where to look. Hoping I can get a tip ...
Cory's user avatar
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1 vote
0 answers
52 views

Why does k-means have more bias than spectral clustering and GMM?

I ran into a 2019-Entrance Exam question as follows: Which of the following algorithm has the higher bias? GMM GMM (identity covariance matrix) spectral clustering k-means The answer mentioned is (...
Lisa Berry's user avatar
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0 answers
129 views

T-algebra and a matrix paradigm over the algebra

We established a novel semisimple commutative algebra called t-algebra, which is backward-compatible to the field of complex numbers. Many notions of complex numbers and matrices are generalized. The ...
Liang Liao's user avatar
1 vote
1 answer
78 views

Is this textbook's combinatorial reasoning for $n \times n! / (b!(n - b)!)$ incorrect?

I recently asked this question on cs.stackexchange. I am currently studying the textbook Artificial Intelligence: A Modern Approach, 4th Edition, by Russell and Norvig. Chapter 3 Solving Problems by ...
The Pointer's user avatar
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0 answers
62 views

Updating probability distribution for decision making in game AI.

I'm programming an AI simulation where a car is randomly driving around a area. Within this area there are 5 repair shops. While driving, the car get's damaged (1% for every step). Once the damage of ...
Dirk Heijnen's user avatar
2 votes
0 answers
40 views

Using Bayesian Networks to solve this localization problem?

I'm reading this paper, which I'll summarize here: Let a sensor network (in this case, a network of radio receivers) consist of $N$ sensor nodes at locations $S = \{ S_1 \cdots S_N\}$. Let $S_i^x$ ...
10GeV's user avatar
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44 views

Non continuous Fuzzy Set

I stuck in this question for a few hours now. Can anyone help me? $ A ̃ $ is a non continuous fuzzy set and is defined by: $ A ̃ = \{0.6/x_1 +0.5/x_2 + 1/x_3 + 0.75/x_4 + 0.7/x_5 + 0.8/x_6 + 1/...
XiaLihu's user avatar
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0 votes
3 answers
117 views

Mean of unormalized Gamma distribution

If $X$ follows a gamma distribution with parameters $\alpha$ and $\beta$ then: $ p(x|\alpha,\beta) = \frac{\beta^{\alpha}x^{\alpha-1}e^{-\beta x}}{\Gamma(\alpha)}$ with $\Gamma(\alpha) = (\alpha - 1)!$...
ailauli69's user avatar
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