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.

1
vote
1answer
55 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 ...
4
votes
1answer
34 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?
0
votes
1answer
65 views

What is machine learning?

What is the definition of machine learning? What are the advantages of machine learning?
2
votes
1answer
40 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?
2
votes
2answers
37 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?
1
vote
1answer
32 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?
2
votes
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 ...
4
votes
2answers
927 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 ...
3
votes
3answers
174 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.
2
votes
1answer
33 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-...
3
votes
0answers
46 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 ...
3
votes
2answers
89 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-...
1
vote
0answers
69 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 ...
5
votes
2answers
301 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?
2
votes
2answers
54 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 ...
1
vote
1answer
45 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} \...
3
votes
2answers
55 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, ...
7
votes
4answers
91 views

What does learning mean?

Can someone explain what is the process of learning? What does it mean to learn something?
3
votes
2answers
136 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 ...
3
votes
3answers
120 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?
3
votes
1answer
59 views

Is an artificial intelligence a program or an hardware?

Is an artificial intelligence a program (or a set of programs) or an hardware?
1
vote
1answer
63 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 ...
2
votes
1answer
326 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?
1
vote
1answer
39 views

What kind of search method is A*?

What kind of search method is A*? Explain to me with an example.
10
votes
2answers
783 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 ...
2
votes
1answer
377 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 ?
4
votes
3answers
110 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 ...
7
votes
3answers
305 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)?
1
vote
0answers
223 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 ...
10
votes
2answers
681 views

What are ontologies in AI?

What exactly are ontologies in AI? How should I write them and why are they important?
20
votes
11answers
1k views

What is artificial intelligence?

What is the definition of artificial intelligence?
6
votes
2answers
905 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
votes
1answer
159 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 ...
9
votes
6answers
305 views

What do we mean when we say 'intelligence'?

My question is that 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? I mean what would ...
6
votes
1answer
557 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 ...
2
votes
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 ...
5
votes
1answer
184 views

Is a mathematical formula a form of intelligence?

Warning: This question takes us into VALIS territory, but I wouldn't underestimate the profundity of that particular philosopher. There is a non-AI definition of intelligence which is simply "...
2
votes
1answer
3k views

What is the “fringe” in the context of search algorithms?

I encountered the algorithm below, which is the general tree search algorithm. ...
15
votes
3answers
21k 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 ...
1
vote
1answer
409 views

What is the relation between back-propagation and reinforcement learning?

What is the relation between back-propagation and reinforcement learning?
3
votes
2answers
527 views

Is Q-learning a type of model-based RL?

Model-based RL creates a model of the transition function. Tabular Q-Learning does this iteratively (without directly optimizing for the transition function). So, does this make tabular Q-learning a ...
4
votes
2answers
273 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 ...
4
votes
4answers
242 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
votes
1answer
26 views

What qualifies a Voice Assistant to be an AI?

If some claim they are doing Artificial Intelligence by providing a Voice Assistant, what shall we expect from this Voice Assistant for the claim of doing "Artificial Intelligence" to be correct? ...
5
votes
3answers
134 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 ...
4
votes
1answer
813 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?
8
votes
2answers
380 views

Examples of uses of artificial intelligence at work

I'm going to give a talk, and I'm preparing the material. The purpose of the conversation is to convince companies in my region that it is possible to apply artificial intelligence in solving everyday ...
2
votes
1answer
192 views

What is a state in a recurrent neural network?

I am Reading "Supervised Sequence Labelling with Recurrent Neural Networks" written by Alex Graves to try to understand LSTM networks and I am a bit confused about the equations. Specifically, what I ...
11
votes
2answers
7k 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 ...
2
votes
2answers
110 views

Can an Markov decision process be dependent on the past?

As far as I know MDP are independent from the past. But the definition says that the same policy should always take the same action depending on the state. What if I define my state as the current "...