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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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13 views

Using Restricted Boltzmann Machines for clustering data

I want to use RBMs as a clustering model and the idea is to use an RBM for clustering a 16 class clustering problem with 4 nodes in the hidden layer. The clustering is done by updating the hidden ...
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28 views

What is the difference between Swarm intelligence and Multiagentsystems?

Swarm intelligence and Multiagent systems are both a part of Distributed AI. Multiagent systems describe a system with agents, which communicate with each other. Swarm intelligence describes systems, ...
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20 views

Applications of derivative only, zeroth-order free optimization

I understand what is derivative-free optimization, and I am thinking a similar problem where the function $f$ we are optimizing is unknown and the only information we can acquire is the derivative. In ...
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1answer
23 views

What is the relation between the compatibile features and the state features in Actor Critic Algorithm?

According to Actor-Critic algorithm, $\psi_{\theta}=\nabla_{\theta}\ln \mu_{\theta}(s, a)$ where $\mu_{\theta}(s, a)$ is the policy followed by the actor and $\psi_\theta$ is the compatibile features ...
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48 views

How to transform an Abstract Syntax Tree (AST) to an Abstract Binding Tree (ABT)? (for machine learning fo theorem proving)

I was reading the HOList paper that applies Graph Neural Networks (GNNs) to the HOL Light (HOList) data set and benchmark for ML for theorem proving. They describe their results etc but there is no ...
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1answer
21 views

What does “satisfactory definition” mean?

I am reading the book Artificial Intelligence (A modern approach) by Stuart Russell and Peter Norvig. While reading the book, I saw the below sentence in the book. The Turing Test, proposed by Alan ...
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1answer
21 views

A very simple question about Admissible Heurisitcs

Given admissible heuristics f(s), g(s), h(s). It is true that max(f(s), g(s), h(s)) is still admissible.. but is it still admissible if its max(f(s), g(s) + h(s)). I believe it is not admissible but I ...
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24 views

Conditional dependence of Markov models

When studying Markov models, I see this equation but I don't understand where does it come from: $$ P(x,y,z) = P(x) P(y|x) P(z|y) = \frac{P(x) P(x,y) P(z,y)}{P(x) P(y)} $$ Can anyone explain to me?
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34 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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47 views

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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1answer
12 views

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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29 views

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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1answer
30 views

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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1answer
22 views

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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1answer
58 views

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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14 views

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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28 views

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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29 views

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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37 views

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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8 views

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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1answer
27 views

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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1answer
24 views

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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1answer
30 views

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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30 views

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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38 views

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
24 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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1answer
39 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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1answer
31 views

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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1answer
97 views

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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14 views

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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19 views

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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64 views

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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1answer
74 views

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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1answer
33 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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1answer
51 views

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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17 views

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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1answer
93 views

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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30 views

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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24 views

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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1answer
26 views

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
93 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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32 views

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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30 views

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
34 views

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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53 views

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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28 views

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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1answer
55 views

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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1answer
69 views

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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