Questions tagged [artificial-intelligence]

Questions about design and properties of agents that act in a dynamic environment and make decisions towards some goal without user control.

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22 views

UCS and Dijkstra's algorithm do both of them give the minimal cost between two vertices?

i tried both algorithm to find the shortest path with minimal cost between two vertices,but most of the time Dijkstra gives a different path and the cost is smaller than the cost for the path UCS ...
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Necessary or useful models/techniques for simulating natural evolution?

I'm a Psychology student with a decent (yet not extensive) knowledge of mathematics and computer science. My knowledge on this two fields are those of a person beginning the third year of computer ...
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I'm quite confused about the convergence of pix2pix cGAN, how can we tell whether my model is well trained?

Usually we will see decreasing loss for regular CNN model, but for GAN, it seems to be not that simple. How can we tell whether my model is well trained?
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How to modify the following Dijkstra/ Uniform-cost search to return the result for all end points?

I know there is a lot of code out there that does this, but in particular, I'm trying to modify the following code to not just return the goal node/ one end point, but all endpoints. How do I go about ...
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Raising to the T in machine learning

What does it mean when in a machine learning paper there is $(arg)^{T}$, what does the T does to an arg in this 3b1b video on neural networks he puts the: $(w^{l-1})^{T}$
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Artificial Intelligence: theory vs processing power

It is common to see articles praising the advances in AI (here is one example). There is no doubt that significant progress has occurred on all kinds of automation, hard games like chess, etc. The ...
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Could AI be used to detect when a human is picking survey response options randomly?

Context: I am a clinical psych researcher dabbling in machine learning. Humans cannot be truly random. Therefore, could machine learning be used to analyze a string of numbers and determine the ...
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Different types of interpolation used in computer vision

Known codition: four pixels shown in the image $(i,j),(i+1,j),(i,j+1)$ and $(i+1,j+1)$ $a=0.9$ and $b=0.4$ I was able to calculate the bilinear interpolation using the algorithm provided by https://...
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Proving facts in inverse reinforcement learning [closed]

I was going through paper titled "Algorithms for Inverse Reinforcement Learning" by Andrew Ng and Russell. It states following basics: MDP $M$ is a tuple $(S,A,\{P_{sa}\},\gamma,R)$, where ...
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Will we be able to « see » COVID (or any other viruses) in our environment in the future?

Given that cameras, computer vision and AI are constantly evolving with greater zoom, macro, processing power... is it possible that some day cameras would be able to « scan » a room and detect COVID (...
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A* search tree version - Can a node be in the frontier multiple times

I took an exam today and it had a question on A* tree search version, we only briefly skimmed over this on the material, focusing more on the graph search version. In the example in the question text ...
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Which model to apply on such panel data with so may rows but for each unique id rows are 6-8 rows per unique id?

I am new to such panel data where I have multiple observation for same ID in different Quarter and I am not sure what kind of machine learning algorithm I can apply. I have data from Q1-18 till Q4-...
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Converting into CNF

I am still a bit confused by how to convert into CNF even though I have the rules written down. How do I convert the following sentence into CNF? $(I \lor M) \Rightarrow H$ I know I need to get rid of ...
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Is any of the assumptions hold true for the mentioned?

Suppose the use of linear regression. The result of the MSE is 120.5(mean squared error) for the train-set. Wev'e reached the minimum of training the data. Is it possible that by applying Lasso(L1 ...
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What is spatial information in neural network? [duplicate]

The architecture of the CNN model contains several convolutional layers, non-linear activations, batch normalization, and pooling layers. The initial layers learn the low-level concepts such as edges ...
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Is it possible to do face recognition with just the eyes?

Assuming the input photo is focused on a person's face, if the person is wearing a surgical mask, most face recognition software fail to identify the subject's face. Most facial landmark models are ...
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Intelligent task distributor

On a distributed system, there are more than 50 machines than continuously read from a database which tasks they have to process. There is no criteria based on which a certain machine chooses which ...
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Reinforcement learning and Graph Neural Networks: Issue with entropy [closed]

I am currently working on an experiment to link reinforcement learning with graph neural networks. This is my architecture: Feature Extraction with GCN: there is a fully meshed topology with ...
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1answer
23 views

Is transfer learning applied on only similar datasets only?

I am trying to make a CNN model on different brands of logos . Firstly , I wrote a CNN from scratch and trained it on which I got 70% accuracy, I have total 40 classes and each class has 100 images . ...
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Are Learning Classifier Systems considered (learning) agents?

Does a LCS model a learning, rule-based agent or does a LCS just implement the agent program (mapping of inputs to actions)? According to Russel & Norvig : agent = architecture + agent program ...
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31 views

How does node expansion work in a graph for AI search?

I want to try and write an example that solves the problem of travelling from one location to another described in the book AI: A modern approach. The problem involves getting from a particular city ...
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AI Search - State in the toy vacuum problem

I have been reading about AI search, specifically the toy vacuum cleaner problem and I would like to code an example of this but I am finding the description of the state hard to get my head around. ...
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If i use other peoples code for my final year project does that come under Plagiarism?

I want to make a facial recognition project but my coding ability is very limited so I am going to be relying on other peoples code but if i use their code even if i change the variables and make ...
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New Neural Network Pruning Algorithm

I developed an algorithm that can prune down neural networks while retaining most of the accuracy. For example, it can take a trained neural network (relu activation functions) with a hidden layer of ...
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24 views

Why do Google Deepmind images always look the same?

There is a certain sameness to google deep mind images. Why do they always look like a bad tool album cover?
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Has GPT-3 put web designers out of work yet?

https://prototypr.io/post/gpt-3-design-hype/ Has GPT-3 had any effect on the how many humans are hired to do web design yet?
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How to prove that the pseudo-code of thresholded-A* algorithm from my teacher's book is correct?

I have the following DFS2 pseudo-code, which is used in the pseudo-code of IDA*, from my teacher's book, but I cannot understand why it's correct: ...
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Can you suggest a topic for a Bachelor Thesis in Mathematics that is related to Machine Learning? [closed]

Context I am a final year Bachelor of Mathematics student and next semester I will write my Bachelor thesis. My interests are in Machine Learning (ML) and I will do a master in ML next year. More ...
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32 views

What is the combinatorial reasoning for the $n$ factor in $n \times n! / (b!(n - b)!)$?

I am currently studying the textbook Artificial Intelligence: A Modern Approach, 4th Edition, by Russell and Norvig. Chapter 3 Solving Problems by Searching says the following: Another type of grid ...
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In counterfactual regret minimization, why are additions to regret weighted by reach probability?

I'm reading the algorithm on page 12 of An Introduction to Counterfactual Regret Minimization. On lines 25 and 26, we accumulate new values into $r_i$ and $s_i$: $25.\space \space r_I[a] ← r_I[a] + \...
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Is MDP Considered as The Model-based Value Iteration in/of Reinforcement Learning?

Is MDP Considered as The Model-based Value Iteration in/of Reinforcement Learning? If no, then Reinforcement Learning is all about being Model-free learning. Right?
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Transition Function in MDP

I got a question about who and how sets the transation function values in markov decision processes? I mean when some says that an agent, in real world grid, is going to step up by %80 and left/right ...
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Good Articles/book on neural networks

I search good articles or books on neural network. unfortunately i don't a lot of time and only now i started to research this field. so i actually search a good source that will give the fundamental (...
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Is machine learning and AI all about pattern recognition?

I realized that machine learning and AI is mostly about spamming the auto correlation and cross correlations from mathematics and combining them with memory arrays. Is it right? What do you think ...
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How to get a heatmap of pixel influences from a Convolutional Neural Network

If I have a CNN model (let's say I'm using Tensorflow and Keras) that I've trained for a particular task. For example, let's say I've trained it to detect the difference between an apple and banana. ...
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1answer
90 views

What is the purpose of learning propositional logic

I am in an AI class where we have extensively learned about propositional logic. I am wondering what the point of learning this is? Are there any uses for propositional logic? Beyond basic logic gates ...
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Is deepfake detection viable?

I'm thinking of doing a project on deepfake detection, but I'm not entirely sure if it is viable. Based on my understanding, how it works is that deepfake generation programs have a generative and ...
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How to find unary potential in belief propagation algorithm for Markov Random Field with a tree structure?

Given that I have a Markov Random Field with a tree structure, which means that belief propagation (or sum product) algorithm will give me the exact solution when I query for marginal probabilities. I ...
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1answer
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object image segmentation

I have 2 different datasets with similar objects, one where each object is 50 pixels wide and the other where they are 150 pixels. Each photo is 512x512 for both datasets. These two datasets have the ...
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Creating An Artificial Universe

This is a general question and one that has bugged me for a long time. I want to start working on an artificial universe, not something too ambitious but more of a basic concept. What I have in mind ...
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About the complexity of deciding if the closed world assumption for renamable Horn CNF is consistent

Let $T$ be a theory that only contains renamable horn formulas. What is the complexity of deciding if the closed world assumption $CWA(T)$ is consistent? The closed world assumption is defined as ...
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How are prime implicates of HORN-Formulas defined?

I'm confused about the definition of prime implicates in Horn formulas. For example in the paper of Kira 2012 on page 109 it is stated: Now in the paper of Boros 2010 on page 82 the following ...
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Why do AI researchers seem to think that consciousness is a computation?

Disclaimer: I am just an undergraduate student so my exposure to a lot of things is certainly limited. I am not sure about the actual popularity of the idea that consciousness is a computation but my ...
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Begin with AWS or Azure ML Course? (or something else?)

I tend to see a lot of ML/AI/DL courses everywhere. Having no background in either of these, I am confused about what to do and where to begin. I was suggested to have a look into the Stanford Andrew ...
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Situation calculus: how to find pre-conditions in 15-puzzle game?

I have been working on finding the preconditions for a situation calculus example for some time now. This example is called the game "15-puzzle" where you can find a discription here https://...
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Books for the Mathematical Theory of AI/ML

I am interested in the mathematical foundations of Artificial Intelligence and Machine Learning. Are there any books which will describe and present the mathematical foundations in detail? I am not ...
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Delta rule for binary step function

I have a question of understanding about the Delta Rule: $\Delta w_i = (y - \hat{y}) \times x_i$ Why does $x$ have to be multiplied again after the difference? If the input is $0$, the product of $w$...
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Is there any way that I, a CLI PHP developer, could “hook into” some kind of AI blackbox?

For many years now, I have heard about "AI" and "neural networks" and all these buzzwords, and it is regularly claimed on Slashdot that this or that open source program is able to "do AI". But then I ...
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Retrieving data from website - Parser vs AI

I'm currently working on a personal software project (as a hobby) and would like to know which kind of approach I should follow according to you. My application scans some websites (like Amazon or ...
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2answers
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How can I treat a problem like a search problem in AI?

I'm a CS student and I'm trying to understand the searching algorithms used in AI. My problem is that I don't really understand how to treat a problem like a search problem. I don't know which would ...

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