Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [terminology]

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

The Structure of Scientific Revolutions, 1962, University of Chicago Press, by Thomas Kuhn, Former MIT Professor of Physics and historian (also coiner of the term Paradigm Shift) — covers the meaning of Normal Science and the importance of a jargon and a class of problems that defines an area of study and permits (but also constrains) scientific collaboration

Linguistic and psycholinguistics twelve years after Chomsky's review of Skinner's verbal behavior, HS Cairns, CE Cains, Revista Interamericana de Psicologia, 2017 - journal.sipsych.org

On the missing link in ecology: improving communication between modellers and experimentalists, Jan Heuschele, Mikael T. Ekvall, Patrizio Mariani and Christian Lindemann, Oikos, 2017

https://en.wikipedia.org/wiki/Jargon

https://en.wikipedia.org/wiki/Acronym

https://en.wikipedia.org/wiki/Specification_(technical_standard)

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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? What are their differences and why are they…
intcreator
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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?
kenorb
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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?
WilliamKF
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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 brain. But what's the difference between a…
Mithical
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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-linearity help? Are there any other purposes of…
Mohsin
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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" and "embedding space" occur in several contexts. More specifically, an embedding can refer to a…
nbro
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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?
kenorb
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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 usually said something like "company A has a large…
user31556
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What are "bottlenecks" in neural networks?

What are "bottlenecks" in the context of neural networks? This term is mentioned, for example, in this TensorFlow article, which also uses the term "bottleneck values". How does one calculate bottleneck values? How do these values help image…
Anurag Singh
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What is the "temperature" in the GPT models?

What does the temperature parameter mean when talking about the GPT models? I know that a higher temperature value means more randomness, but I want to know how randomness is introduced. Does temperature mean we add noise to the weights/activations…
Tom Dörr
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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 domain and the codomain are the same, or it can be…
nbro
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What is artificial intelligence?

What is the definition of artificial intelligence?
Rana Wasif
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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 text) have been the contributions establishing and…
Bionic Buffulo
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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 asynchronous mechanism that uses multiple worker agents…
Blaszard
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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? Is the observation maybe the state after the…
echo
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