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Questions tagged [terminology]

For questions related to the definition of and use of terminology in the context of Artificial Intelligence

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90
votes
10answers
14k views

What is the difference between artificial intelligence and machine learning?

These two terms seem to be related, especially in their application in computer science and software engineering. Is one a subset of another? Is one a tool used to build a system for the other? ...
45
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6answers
2k views

What is fuzzy logic?

I'm new to A.I. and I'd like to know in simple words, what is the fuzzy logic concept? How does it help, and when is it used?
44
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3answers
23k views

What is the difference between strong-AI and weak-AI?

I've heard the terms strong-AI and weak-AI used. Are these well defined terms or subjective ones? How are they generally defined?
33
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5answers
62k views

What is the difference between a convolutional neural network and a regular neural network?

I've seen these terms thrown around this site a lot, specifically in the tags convolutional-neural-networks and neural-networks. I know that a neural network is a system based loosely on the human ...
30
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5answers
17k views

What is the purpose of an activation function in neural networks?

It is said that activation functions in neural networks help introduce non-linearity. What does this mean? What does non-linearity mean in this context? How does the introduction of this non-...
29
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2answers
1k views

How is a deep neural network different from other neural networks?

How is a neural network having the "deep" adjective actually distinguished from other similar networks?
26
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7answers
14k views

How can an AI train itself if no one is telling it if its answer is correct or wrong?

I am a programmer but not in the field of AI. A question constantly confuses me is that how can an AI be trained if we human beings are not telling it its calculation is correct? For example, news ...
22
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6answers
2k views

What is artificial intelligence?

What is the definition of artificial intelligence?
19
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1answer
6k views

What is the Bellman operator in reinforcement learning?

In mathematics, the word operator can refer to several distinct but related concepts. An operator can be defined as a function between two vector spaces, it can be defined as a function where the ...
19
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4answers
6k views

What is the difference between latent and embedding spaces?

In general, the word "latent" means "hidden" and "to embed" means "to incorporate". In machine learning, the expressions "hidden (or latent) space" ...
18
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3answers
19k views

What is the concept of Tensorflow Bottlenecks?

What is the concept and how does one calculate Bottleneck values? How do these values help image classification? Please explain in simple words.
15
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3answers
7k views

What is the difference between actor-critic and advantage actor-critic?

I'm struggling to understand the difference between actor-critic and advantage actor-critic. At least, I know they are different from asynchronous advantage actor-critic (A3C), as A3C adds an ...
13
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4answers
3k views

What does “stationary” mean in the context of reinforcement learning?

I think I've seen the expressions "stationary data", "stationary dynamics" and "stationary policy", among others, in the context of reinforcement learning. What does it mean? I think stationary policy ...
13
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6answers
1k views

What are good alternatives to the expression “Artificial Intelligence”?

I read a really interesting article titled "Stop Calling it Artificial Intelligence" that made a compelling critique of the name "Artificial Intelligence". The word intelligence is so broad that it's ...
12
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2answers
2k views

What is the difference between active learning and online learning?

The definitions for these two appear to be very similar, and frankly, I've been only using the term "active learning" the past couple of years. What is the actual difference between the two? ...
11
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3answers
260 views

What is a deep neural network? [duplicate]

What is the definition of a deep neural network? Why are they so popular or important?
11
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2answers
13k views

What are bottleneck features?

In the blog post Building powerful image classification models using very little data, bottleneck features are mentioned. What are the bottleneck features? Do they change with the architecture that is ...
11
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5answers
6k views

Is a genetic algorithm an example of artificial intelligence?

Since human intelligence presumably is a function of a natural genetic algorithm in nature, is using a genetic algorithm in a computer an example of artificial intelligence? If not, how do they differ?...
11
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3answers
4k views

What is a “trajectory” in reinforcement learning?

I'm now learning about reinforcement learning, but I just found the word "trajectory" in this answer. However, I'm not sure what it means. I read a few books on the Reinforcement Learning but none of ...
11
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1answer
3k views

Who first coined the term Artificial Intelligence?

Who first coined the term Artificial Intelligence? Is there a published research paper that first used that term?
11
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2answers
3k views

What is the difference between a receptive field and a feature map?

In a CNN, the receptive field is the portion of the image used to compute the filter's output. But one filter's output (which is also called a "feature map") is the next filter's input. What's the ...
11
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2answers
6k views

What is the difference between reinforcement learning and optimal control?

Coming from a process (optimal) control background, I have begun studying the field of deep reinforcement learning. Sutton & Barto (2015) state that particularly important (to the writing of the ...
11
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1answer
739 views

Are Cellular Neural Networks one type of Neural Networks?

I am researching Cellular Neural Networks and have already read Chua's two articles (1988). In cellular neural networks, a cell is only in relation with its neighbors. So its is easy to use it for ...
10
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1answer
6k views

What is the difference between an observation and a state in reinforcement learning?

I'm studying reinforcement learning. It seems that "state" and "observation" mean exactly the same thing. They both capture the current state of the game. Is there a difference between the two terms?...
10
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2answers
6k views

Why is it called Latent Vector?

I just learned about GAN and I'm a little bit confused about the naming of Latent Vector. First, In my understanding, a definition of a latent variable is a random variable that can't be measured ...
10
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2answers
6k views

What is the difference between artificial intelligence and computational intelligence?

Having analyzed and reviewed a certain amount of articles and questions, apparently, the expression computational intelligence (CI) is not used consistently and it is still unclear the relationship ...
10
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1answer
4k views

What are ontologies in AI?

What exactly are ontologies in AI? How should I write them and why are they important?
9
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3answers
1k views

What algorithms are considered reinforcement learning algorithms?

What are the areas/algorithms that belong to reinforcement learning? TD(0), Q-Learning and SARSA are all temporal-difference algorithms, which belong to the reinforcement learning area, but is there ...
9
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1answer
11k views

What is the fringe in the context of search algorithms?

What is the fringe in the context of search algorithms?
9
votes
2answers
4k views

What is an activity vector in capsule neural networks?

I was reading the paper Dynamic Routing Between Capsules and didn't understand the term "activity vector" in the abstract. A capsule is a group of neurons whose activity vector represents the ...
9
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1answer
3k views

What is the difference between memetic algorithms and genetic algorithms?

What is the difference between memetic algorithms and genetic algorithms? Is an individual's lifetime a learning part of memetic algorithms?
9
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3answers
2k views

Do GANs come under supervised learning or unsupervised learning?

Do GANs come under supervised learning or unsupervised learning? My guess is that they come under supervised learning, as we have labeled dataset of images, but I am not sure as there might be other ...
8
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4answers
578 views

What is “backprop”?

What does "backprop" mean? Is the "backprop" term basically the same as "backpropagation" or does it have a different meaning?
8
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3answers
1k views

What are the differences between an agent and a model?

In the context of Artificial Intelligence, sometimes people use the word "agent" and sometimes use the word "model" to refer to the output of the whole "AI-process". For ...
8
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2answers
225 views

What is the name of a human-inspired machine learning approach?

I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its ...
8
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4answers
822 views

What do you call a machine learning system that keeps on learning?

As I understand it from this video lecture, there are three types of deep learning: Supervised Unsupervised Reinforcement All these can serve to train a neural network either only prior to its ...
8
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3answers
443 views

What's the term for death by dissolving in AI?

What's the term (if such exists) for merging with AI (e.g. via neural lace) and becoming so diluted (e.g. 1:10000) that it effectively results in a death of the original self? It's not quite "digital ...
8
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2answers
1k views

In what ways is the term “topology” applied to Artificial Intelligence?

I have a only a general understanding of General Topology, and want to understand the scope of the term "topology" in relation to the field of Artificial Intelligence. In what ways are topological ...
7
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2answers
871 views

What is meant by “ground truth” in the context AI?

What does "ground truth" mean in the context of AI especially in the context of machine learning? I am a little confused because I have read that the ground truth is the same as a label in ...
7
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2answers
574 views

Is reinforcement learning using shallow neural networks still deep reinforcement learning?

Often times I see the term deep reinforcement learning to refer to RL algorithms that use neural networks, regardless of whether or not the networks are deep. For example, PPO is often considered a ...
7
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3answers
2k views

What is the difference between hypothesis space and representational capacity?

I am reading Goodfellow et al Deeplearning Book. I found it difficult to understand the difference between the definition of the hypothesis space and representation capacity of a model. In Chapter 5,...
7
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1answer
3k views

What is the definition of each of these neural network cell types?

I found this nice-ish-looking diagram, but it has a wholly inadequate descriptions for each of the cell types, aside from including names. What is the definition/description of each of these cell ...
7
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2answers
137 views

What does learning mean?

Can someone explain what is the process of learning? What does it mean to learn something?
7
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3answers
374 views

What is meant by “known” in “A knowledge-base exhibits complete knowledge if and only if, for every $P$, $P$ or $\neg P$ is known”?

I have a question as to what it means for a knowledge-base to be consistent and complete. I've been looking into non-monotonic logic and different formalisms for it from the book "Knowledge ...
7
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2answers
3k 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 ...
6
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6answers
12k views

What is the difference between artificial intelligence and robots?

What is the difference between artificial intelligence and robots?
6
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1answer
2k views

What are the state space and the state transition function in AI?

I'm studying for my AI final exam, and I'm stuck in the state space representation. I understand initial and goal states, but what I don't understand is the state space and state transition function. ...
6
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2answers
2k views

What is a time-step in a Markov Decision Process?

The "discounted sum of future rewards" (or return) using discount factor $\gamma$ is $$\gamma^1 r_1 +\gamma^2 r_2 + \gamma^3 r_2 + \dots \tag{1}\label{1}$$ where $r_i$ is the reward received ...
6
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1answer
10k views

What is the difference between an agent function and an agent program?

In section 2.4 (p. 46) of the book Artificial Intelligence: A modern approach (3rd edition), Russell and Norvig write The job of AI is to design an agent program that implements the agent function — ...
6
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2answers
87 views

What does “semantic gap” mean?

I was reading DT-LET: Deep transfer learning by exploring where to transfer, and it contains the following: It should be noted direct use of labeled source domain data on a new scene of target domain ...

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