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

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2answers
79 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 ...
6
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1answer
103 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 ...
4
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1answer
44 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 ...
1
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1answer
33 views

What is the difference between policy and action in Reinforcement Learning?

I'm confused with the two terminology - action and policy - in Reinforcement Learning. As far as I know, the action is: It is what the agent makes in a given state. However, the book I'm reading ...
1
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1answer
24 views

What is the “trajectory” in the Reinforcement Learning?

I'm now learning about the Reinforcement Learning but 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 ...
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0answers
27 views

Listen, Attend and Spell

I was reading the Listen, Attend and Spell paper and did not understand some terms/concepts. I need help with the following: what is pyramid Bidirectional LSTM and how it helps to reduce the time ...
1
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1answer
60 views

Is it a valid Deep Neural Network?

For a regression task, I have sequences of training data and if I define the layers of deep neural network to be: Layers=[ sequenceInputLayer(featuredimension) reluLayer dropoutLayer(0.05) ...
3
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3answers
105 views

Intelligence vs. Rationality?

This just popped into my head, and I haven't thought it through, but it feels like a sound question. The definition of intelligence might still be somewhat fuzzy, possibly a factor of our evolving ...
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1answer
68 views

Are recent advances in machine learning really “artificial” intelligence, or merely brute force and human design?

It sounds like people boast of something being "artificial" about machine learning when actually people boast that humans implemented algorithms like e.g. Monte Carlo Search (MCST) etc. I think the ...
2
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1answer
205 views

What is the meaning of “fringe” in the Artifical Intelligence context?

I am studying Artificial Intelligence, and I encountered an algorithm. It is a general tree search to find a solution for a problem: ...
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0answers
107 views

Neural Network Cell (Node) 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 ...
5
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3answers
316 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 ...
2
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3answers
2k 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.
2
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2answers
176 views

What are different approaches used in Machine Learning?

There seem to be so many sub-fields, so I'm interested in getting a better understanding of the approaches. I'm looking for information on a single framework per answer, in order to allow for ...
1
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1answer
45 views

What is a model and how is it designed?

I read these things on the internet like My model determines the future scope..." or My model gives accurate readings about what the score would be..." What are these models? How are they ...
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3answers
102 views

What other kind of AIs exist apart from goal-driven?

Goal-driven AIs is the only kind of AI I am aware of. However, Marcus Hutter claims the following Most, if not all known facets of intelligence can be formulated as goal driven or, more generally, ...
0
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1answer
41 views

Applied probabilistically… What does probabilistically mean?

I'm new in genetic algorithms and I'm reading the A. E. Eiben and J. E. Smith book Introduction to Evolutionary Computing (Springer 2003). On section 3.5 Recombination, page 47, second paragraph said:...
2
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1answer
51 views

Is the traditional meaning of “strong AI” outmoded?

Traditionally, "strong AI" refers to Artificial General Intelligence, the human mind understood as an algorithm (Searle, Chinese Room) and Artificial Consciousness. But recent advances in Artificial ...
5
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3answers
115 views

Does any Math/Algos actually mimic human intelligence?

I've been reading about AI/Deep Learning, etc. to understand robots (i.e. Elon Musk warning). But I must be missing something... Can the entire field be summed-up in this one sentence? "Neural ...
6
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2answers
423 views

Terminology of deep learning: “continuous” or “dynamic”?

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 NN either only prior to its deployment or ...
4
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4answers
251 views

Is transistor the first artificial intelligence?

Artificial Intelligence is any device that perceives its environment and takes actions that maximize its chance of success at some goal. I got this definition from Wikipedia that cited "Russell and ...
5
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2answers
985 views

What is the difference between assisted and unassisted learning in relation to AI?

Is this related to supervised and unsupervised machine learning? Is it related to AI assisted human learning, and what is the distinction? Also, why is assisted machine learning seen as an ...
3
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1answer
70 views

What is USV In NLP?

3 SVD Based Methods For this class of methods to find word embeddings (otherwise known as word vectors), we first loop over a massive data set and accumulate word co-occurrence counts in some form of ...
4
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2answers
422 views

Is AI entirely a part of Computer Science?

Both AI and Computer Science are Sciences, as I understood from Wikipedia, Computer Science is everything that has any relation to computers. And AI is commonly defined as Study of machines that ...
7
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3answers
206 views

What is meant by “known” in “A knowledge-base exhibits complete knowledge iff for every P (within its vocabulary) P or ~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 ...
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1answer
183 views

What is difference between edge computing and Federated learning?

I recently read about federated learning introduced by google,but it works same the way like edge computing. I unable to find right explanation?
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2answers
4k views

What are bottleneck features?

What are bottleneck features? (Mentioned here https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html). Do they change with the architecture that is used? Are ...
6
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1answer
1k views

What is the difference between Memetic Algorithms and Genetic Algorithms?

Can someone please explain the difference between Memetic Algorithms and Genetic Algorithms? Is an indivudal's lifetime learning part of memetic algorithms?
7
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4answers
300 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 ...
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1answer
58 views

“Goodness” of a position in an Evaluation Function?

The Wikipedia states that: "An evaluation function, also known as a heuristic evaluation function or static evaluation function, is a function used by game-playing programs to estimate the value or ...
5
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1answer
337 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. ...
0
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1answer
256 views

Terminology: DBN vs stacked RBM

I'm just diving in this whole new area of knowledge; i happened to lost in all the concepts a bit. What is difference between stacked RBM and deep belief network? Are they the same entity? If so, ...
5
votes
1answer
168 views

What does the term “closed expression” mean?

In the field of logic systems there is a property for reasoning algorithms called incompleteness or incompletion. In this context the phrase "any closed expression that is not derivable inside the ...
3
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2answers
136 views

What is the difference between Artificial Intelligence and Cognitive Science?

Sometimes I understand that people doing cognitive science try to avoid the term artificial intelligence. The feeling I get is that there is a need to put some distance to the GOFAI. Another ...
4
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2answers
165 views

What is the difference between abstract, autonomous and virtual intelligent agents?

On Wikipedia, we can read about different type of intelligent agents: abstract intelligent agents (AIA), autonomous intelligent agents, virtual intelligent agent (IVA), which I've found on other ...
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3answers
11k 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?
49
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13answers
9k 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? ...
4
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2answers
114 views

On the intelligent agent definition of intelligence

The intelligent agent definition of intelligence states that an agent is intelligent if it acts so to maximize the expected value of a performance measure based on past experience and knowledge. (...
5
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3answers
305 views

What is “backprop”?

What does "backprop" mean? I've Googled it, but it's showing backpropagation. Is the "backprop" term basically the same as "backpropagation" or does it have a different meaning?