Questions tagged [definitions]

For questions about the definition of terms used in artificial intelligence research and development, including the definition of intelligence, algorithms, jargon, principles, methodologies, mathematical terms, concepts, topologies, architectures, designs, jargon, and AI domains such as robotics, network training, or automated vehicles.

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1answer
23 views

What is an identity recurrent neural network?

What is an identity recurrent neural network (IRNN)? What is the difference between an IRNN and RNN?
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0answers
20 views

Pooling vs Subsampling: Multiple Definitions?

I have seen people using pooling and subsampling synonymously. I have also seen people use them as different processes. I am not sure though if I have correctly inferred what they mean, when they use ...
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0answers
47 views

What is the meaning of the words 'bias' and 'variance' in RL?

In algorithms like MC/TD (tabular value approximation) two of the metrics used to measure their performance are the bias and the variance. What do these terms mean? And which characteristic of the ...
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1answer
54 views

Clarification on definition of convolution: Is adding the Frobenius inner products between filter and input part of convolution or a separate step?

From the literature I have read so far, it is not clear how exactly the convolution operation is defined. It seems people use two different definitions: Let us assume we are given an $n_w \times n_h \...
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1answer
19 views

Why are activation functions independent layers in CNNs rather than part of convolutional layers?

I have been reading up on CNNs. One of the different confusing things has been that people always talk of normalization layers. A common normalization layer is a ReLU layer. But I never encountered an ...
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2answers
31 views

Are feature maps merged or are they passed on as they are?

I am unsure about the following parts of the architecture and mechanics of convolution layers in CNNs. Possibly, this is implementation-dependent though. First question: Say I have 2 convolution ...
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0answers
24 views

Can simple tools like the Pascaline be considered artificial intelligence? [duplicate]

Question in Brief The popular usage (I'm not sure of exact technical usage), limits the term "artificial intelligence" to only the "high-end" tasks; as if AI has something limited to "high-end". But "...
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2answers
34 views

Can non-Markov environments also be deterministic?

The definition of deterministic environment I am familiar with goes as follows: The next state of the agent depends only on the current state and the action chosen by the agent. By exclusion, ...
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0answers
58 views

What is a conditional random field?

I new in machine learning, especially in Conditional Random Fields (CRF). I have read several articles and papers and in there is always associated with HMM and sequences classification. I don't ...
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1answer
66 views

Which models accept numerical parameters and produce a numerical output?

I need a model that will take in a few numerical parameters, and give back a numerical answer (Context: predicting a slope based on environmental factors without having to actually take measurements ...
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0answers
60 views

Help and guide books in the study of AI

Useful knowledge is costly to obtain. Above all books require a substantial investment. I have bought 6 books on AI. For ...
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0answers
18 views

Is learning from demonstration equal to plan recognition?

The amount of literature about “Learning from demonstration” (LfD) is huge. The idea, in short, is that a human operator is moving the robot's arm slowly, the motion gets recorded, and after pressing ...
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1answer
80 views

What is an agent in Artificial Intelligence?

While studying artificial intelligence, I have often encountered the term "agent" (often autonomous, intelligent). For instance, in fields such as Reinforcement Learning, Multi-Agent Systems, Game ...
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1answer
57 views

What is the credit assignment problem?

In reinforcement learning (RL), the credit assignment problem (CAP) seems to be an important problem. What is the CAP? Why is it relevant to RL?
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1answer
69 views

What is machine learning?

What is the definition of machine learning? What are the advantages of machine learning?
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1answer
41 views

What is the prediction accuracy?

In simple words, what is the prediction accuracy? What is it based on? How does it help? When is it used?
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2answers
44 views

What is the difference between Sentiment Analysis and Emotion Recognition?

I found Sentiment Analysis and Emotion Recognition as two different categories on paperswithcode.com. Should both be the same as my understanding? If not what's the difference?
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1answer
45 views

What is a temporal feature?

What is a temporal feature, what features make something temporal in nature? Is this problem agnostic? How does it change from different fields of study?
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0answers
23 views

What is local consistency in constraint satisfaction problems?

In the Constraint Propagation in CSP, it is often stated that pre-processing can solve the whole problem, so no search is required at all. And the key idea is local consistency. What does this ...
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2answers
939 views

What algorithms are considered reinforcement learning algorithms?

What are the areas that belong to the Reinforcement Learning? TD(0), Q-Learning and SARSA are all temporal-difference algorithms, which belong to the reinforcement learning area, but is there more to ...
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3answers
175 views

What is an artificial neural network?

What is an artificial neural network in artificial intelligence? It is apparently used to find patterns in data and it is loosely inspired by human neural networks.
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1answer
37 views

When is content-based more appropriate than collaborative filtering?

I know the difference between content-based and collaborative filtering approach in recommender systems. I also know some of the articles said collaborative filtering have some advantages than content-...
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0answers
53 views

What is a generalized MDP?

What is a generalized MDP? How is it different than a "regular" MDP? How does it generalise the notion of an MDP? Why do we need a generalised MDP? Do generalised MDPs have some practical usefulness ...
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2answers
95 views

Do we have to use CNN for Deep Q Learning?

I read top articles on Google Search about Deep Q-Learning: https://medium.freecodecamp.org/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8 https://skymind.ai/wiki/deep-reinforcement-...
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0answers
82 views

What is a graph neural network?

What is a graph neural network (GNN)? How is a GNN different from a NN? How exactly is a GNN related to graphs? What are the components of a GNN? What are the inputs and outputs of GNNs? How can ...
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2answers
371 views

What is geometric deep learning?

What is geometric deep learning (GDL)? How is it different from deep learning? Why do we need GDL? What are some applications of GDL?
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2answers
57 views

Is the definition of machine learning by Mitchell in his book “Machine Learning” valid?

The definition machine learning is as follows: A computer program is said to learn from experience E with respect to some task T and performance measure P, if its performance at task T, as ...
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1answer
47 views

What is the relation between a policy which is the solution to a MDP and a policy like $\epsilon$-greedy?

In the context of reinforcement learning, a policy, $\pi$, is often defined as a function from the space of states, $\mathcal{S}$, to the space of actions, $\mathcal{A}$, that is, $\pi : \mathcal{S} \...
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2answers
61 views

How are the reward functions $R(s)$, $R(s, a)$ and $R(s, a, s')$ equivalent?

In this video, the lecturer states that $R(s)$, $R(s, a)$ and $R(s, a, s')$ are equivalent representations of the reward function. Intuitively, this is the case, according to the same lecturer, ...
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4answers
94 views

What does learning mean?

Can someone explain what is the process of learning? What does it mean to learn something?
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2answers
188 views

What is the difference between search and planning?

I'm studying Artificial Intelligence. A Modern Approach, Stuart Russell, Peter Norvig, specifically about search and planning arguments. I don't understand the difference between the two terms. I was ...
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3answers
142 views

Can an AI model be based on the principles of rationalism?

Are current AI models entirely empiricist? Can they be rationalist?If so How?
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1answer
60 views

Is an artificial intelligence a program or an hardware?

Is an artificial intelligence a program (or a set of programs) or an hardware?
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1answer
74 views

How important are notations for Artificial Intelligence?

According to WIkipedia, a notation is a semiotics term to describe artistic disciplines. Famous examples are: chess notation, Siteswap notation for juggling, Labanotation for dancing, basketball play ...
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1answer
573 views

About the definition of “soft label” and “hard label”

In semi-supervised learning, there are hard labels and soft labels. Could someone show me what's exactly the meaning of the two things?
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1answer
43 views

What kind of search method is A*?

What kind of search method is A*? Explain to me with an example.
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2answers
803 views

Is AlphaZero an example of an AGI?

From DeepMind's research paper on arxiv.org: In this paper, we apply a similar but fully generic algorithm, which we call AlphaZero, to the games of chess and shogi as well as Go, without any ...
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1answer
481 views

What is successor function?

In CSP (Constraint Satisfaction Problem) state is a "black box"- any data structure that supports a successor function, heuristic function, and goal test. What is the successor function ?
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3answers
116 views

Is an algorithm that is no longer actively learning an AI?

This question assumes a definition of AI based on machine learning, and was inspired by this fun Technology Review post: SOURCE: Is this AI? We drew you a flowchart to work it out (Karen Hao, MIT ...
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3answers
436 views

What is a learning agent?

What is a learning agent, and how does it work? What are examples of learning agents (e.g., in the field of robotics)?
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0answers
279 views

Is my understanding of the differences between MDP, Semi MDP and POMDP correct?

I just wanted to confirm that my understanding of the different Markov Decision Processes are correct, because they are the fundamentals of reinforcement learning. Also, I read a few literature ...
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2answers
931 views

What are ontologies in AI?

What exactly are ontologies in AI? How should I write them and why are they important?
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11answers
1k views

What is artificial intelligence?

What is the definition of artificial intelligence?
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2answers
1k views

Definition of rationality

I'm having a little trouble with the definition of rationality, which goes something like: "An agent is rational if it maximizes it's performance measure given its current knowledge." I've read that ...
4
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1answer
192 views

What is the relation between an environment, a state and a model?

In particular, I would like to have a simple definition of "environment" and "state". What are the differences between those two concepts? Also, I would like to know how the concept of model relates ...
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7answers
334 views

What is the most general definition of “intelligence”?

When we talk about artificial intelligence, human intelligence or any other form of intelligence, what do we mean by the term intelligence in a general sense? What would you call intelligent and what ...
6
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1answer
614 views

Artificial Intelligence and Computational Intelligence

Having analysed,reviewed quite a number of user questions inline with answers concerning AI,sometimes I understand nor take note that AI community does not try much to avoid the term computational ...
6
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3answers
187 views

What are Support Vector Machines?

What are Support Vector Machines? Is an SVM a kind of a neural network, meaning it has nodes and weights, etc.? What is it best used for? Where I can find information about these?
2
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1answer
157 views

How does Microsoft use AI to make Windows 10 updates smoother

According to this news, Microsoft is using AI to make Windows 10 updates smoother. So I was curious and went further to search and came across this website, which describes: Artificial Intelligence ...
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3answers
5k views

What is the difference between tree search and graph search?

I have read various answers to this question at different places, but I am still missing something. What I have understood is that a Graph search holds a closed list, with all expanded nodes, so ...