Questions tagged [comparison]

For questions that involve the comparison of two AI concepts, terms or expressions. An example of such a question is: how does machine learning compare to deep learning?

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56
votes
6answers
41k views

What's the difference between model-free and model-based reinforcement learning?

What's the difference between model-free and model-based reinforcement learning? It seems to me that any model-free learner, learning through trial and error, could be reframed as model-based. In ...
10
votes
1answer
899 views

Why is the merged neural network of AlphaGo Zero more efficient than two separate neural networks?

AlphaGo Zero contains several improvements compared to its predecessors. Architectural details of Alpha Go Zero can be seen in this cheat sheet. One of those improvements is using a single neural ...
5
votes
1answer
142 views

Is there a way of converting a neural network to another one that represents the same function?

I have read the paper Neural Turing Machines and the paper On the Computational Power of Neural Nets about the computational power of neural networks. However, it isn't still clear to me one thing. ...
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3answers
3k views

What are the differences between machine learning, pattern recognition and data mining?

I know a little about these subjects. I found them similar to each other. Can anybody explain the differences between them?
2
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1answer
256 views

Does eligibility traces and epsilon-greedy do the same task in different ways?

I understand that, in Reinforcement Learning algorithms, such as Q-learning, to prevent selecting the actions with greatest q-values too fast and allow for exploration, we use eligibility traces. Here ...
2
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3answers
229 views

Is Deep Learning the repeated application of Linear Regression?

Is Deep Learning the repeated application of Linear Regression?
5
votes
3answers
985 views

What is the difference between encoders and auto-encoders?

How are the layers in a encoder connected across the network for normal encoders and auto-encoders? In general, what is the difference between encoders and auto-encoders?
3
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2answers
219 views

What is the difference between a normal processor and a processor designed for AI?

What is the difference between a normal processor and a processor designed for AI?
5
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1answer
4k views

What is the difference between local search and global search algorithms?

What is the difference between local search and global (or complete) search algorithms?
9
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4answers
3k views

When to choose Stochastic Hill Climbing over Steepest Hill Climbing?

Stochastic Hill Climbing generally performs worse than Steepest Hill Climbing, but what are the cases in which the former performs better?
5
votes
2answers
3k 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 ...
8
votes
1answer
2k views

What is the difference between logic-based and rule-based AI?

I always thought rule-based was synonymous with logic-based AI. Logic has axioms and rules of inference, whereas rule-based AI has a knowledge base (essentially, axioms) and if-then rules to create ...
5
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1answer
3k views

What is the difference between simple reflex and model-based agents?

What is the difference between simple reflex and model-based agents? What is the role of the internal state, in the case of model-based agents?
4
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2answers
834 views

What is difference between edge computing and federated learning?

I recently read about federated learning introduced by Google, but it seems to be like edge computing. What is the difference between edge computing and federated learning?
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?
15
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2answers
1k views

When is deep learning overkill?

For example, for classifying emails as spam, is it worthwhile - from a time/accuracy perspective - to apply deep learning (if possible) instead of another machine learning algorithm? Will deep ...
6
votes
2answers
165 views

Would a general-purpose AI need to collaborate?

Human beings are more productive in groups than individually, possibly due to the fact that there is a limit to how much one human brain can improve itself in terms of speed of computation and areas ...
6
votes
4answers
487 views

What does deep learning offer with respect to standard machine learning?

I've been reading a lot about DL. I can understand to an extent how it works, in theory at least, and how it's technically different from conventional ML. But what I'm looking for is more of a "...
1
vote
1answer
643 views

What is the difference between a stacked restricted Boltzmann machine and deep belief network?

What is the difference between stacked restricted Boltzmann machine (RBM) and deep belief network (DBN)? Are they the same entity? If so, why? Is the latter some specific type of the former? If so, ...
9
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2answers
2k views

What are the main differences between a perceptron and a naive Bayes classifier?

What are the main differences between a perceptron and a naive Bayes classifier?
14
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2answers
15k views

Why is Sanskrit the best language for AI?

According to NASA scientist Rick Briggs, Sanskrit is the best language for AI. I want to know how Sanskrit is useful. What's the problem with other languages? Are they really using Sanskrit in AI ...
2
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1answer
3k views

What is meant by “reproduction” in the description of this exercise?

In the following exercise, the word reproduction is mentioned. Your task is to design a simple genetic algorithm, with binary-coded chromosomes, in order to solve a pattern-finding problem in 16-bit ...
6
votes
1answer
1k views

How can we connect artificial intelligence with cognitive psychology?

On page 62 of Artificial Intelligence and Cognitive Psychology Applications, Models (2010), Gabriella Daróczy writes Psychology is one of the basic sciences of artificial intelligence (AI). The ...
8
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3answers
332 views

Is Artificial Intelligence restricted to electrical based technology?

According to Wikipedia: AI is intelligence exhibited by machines. I have been wondering if with the recent biological advancements, is there already a non-electrical-based "machine" that is ...
6
votes
2answers
608 views

In 2016, can $1000.00 buy enough operations per second to be approximately equal to the computational power of a human brain?

In The Age of Spiritual Machines (1999), Ray Kurzweil predicted that in 2009, a \$1000 computing device would be able to perform a trillion operations per second. Additionally, he claimed that in 2019,...
5
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3answers
2k views

Are Convolutional Neural Networks better than existing image recognition libraries that don't use CNNs?

Are Convolutional Neural Networks summarily better than pattern recognition in all existing image processing libraries that don't use CNN's? Or are there still hard outstanding problems in image ...
18
votes
1answer
443 views

Are these two versions of back-propagation equivalent?

Just for fun, I am trying to develop a neural network. Now, for backpropagation I saw two techniques. The first one is used here and in many other places too. What it does is: It computes the ...
6
votes
2answers
429 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 ...
11
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3answers
440 views

Who was the first person to recognize the distinction between human-like general intelligence and domain-specific intelligence?

In the 1950s, there were widely-held beliefs that "Artificial Intelligence" will quickly become both self-conscious and smart-enough to win chess with humans. Various people suggested time frames of e....
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 — ...
18
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5answers
2k views

What is the difference between machine learning and deep learning?

Can someone explain to me the difference between machine learning and deep learning? Is it possible to learn deep learning without knowing machine learning?
9
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2answers
147 views

How do evolutionary algorithms have advantages over the conventional backpropagation methods?

How does employing evolutionary algorithms to design and train artificial neural networks have advantages over using the conventional backpropagation algorithms?
6
votes
1answer
169 views

How do I know when to use which Monte Carlo method?

I'm a bit confused with extensive number of different Monte Carlo methods such as: Hamiltonian/Hybrid Monte Carlo (HMC), Dynamic Monte Carlo (DMC), Markov chain Monte Carlo (MCMC), Kinetic Monte ...
17
votes
1answer
409 views

Could a Boltzmann machine store more patterns than a Hopfield net?

This is from a closed beta for AI, with this question being posted by user number 47. All credit to them. According to Wikipedia, Boltzmann machines can be seen as the stochastic, generative ...
4
votes
2answers
496 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 ...
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?
4
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2answers
228 views

Are there any learning algorithms as powerful as “deep” architectures?

This article suggests that deep learning is not designed to produce the universal algorithm and cannot be used to create such a complex systems. First of all it requires huge amounts of computing ...
3
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2answers
86 views

How to distinguish AI modeling from implementation?

Quote from this Eric's meta post about modelling and implementation: They are not exactly the same, although strongly related. This was a very difficult lesson to learn among mathematicians and ...
3
votes
1answer
110 views

What are the main differences between a deep Boltzmann machine and a deep belief network?

What are the main differences between a deep Boltzmann machine (DBM) (a recurrent neural network) and a deep belief network (which is based on RBMs)?
9
votes
2answers
2k views

What's the difference between hyperbolic tangent and sigmoid neurons?

Two common activation functions used in deep learning are the hyperbolic tangent function and the sigmoid activation function. I understand that the hyperbolic tangent is just a rescaling and ...
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?
1
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0answers
107 views

What is the relation between optimality theory and AI?

How do the basic components optimality theory apply to artificial intelligence? How is optimality theory related to neural network research?
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?
90
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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? ...

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