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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.

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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.
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1answer
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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-...
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0answers
35 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 ...
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2answers
81 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-...
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0answers
55 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 ...
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2answers
258 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?
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2answers
50 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 ...
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1answer
40 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} \...
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1answer
102 views

What is the relation between online learning and on-policy algorithms?

In the context of RL, there is the notion of on-policy and off-policy algorithms. I roughly understand the difference between on-policy and off-policy algorithms. Moreover, in RL, there's also the ...
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2answers
54 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, ...
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2answers
77 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 ...
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3answers
100 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?
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3answers
188 views

If AI can perceive, can it be sentient? [duplicate]

AI should be perceiving - I think. There are debates around the world about the intelligence of an Super-Intelligent AI. I'm curious whether AI can have sentience or not.
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1answer
51 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 ...
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1answer
117 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?
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2answers
746 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 ...
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1answer
225 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 ?
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3answers
108 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 ...
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0answers
179 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 ...
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9answers
1k views

What is Artificial Intelligence?

How can those in the field define Artificial Intelligence in the best possible way?
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2answers
734 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 ...
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1answer
128 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 ...
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6answers
300 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 ...
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1answer
473 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 ...
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1answer
146 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 ...
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1answer
183 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 "...
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1answer
2k views

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

I encountered the algorithm below, which is the general tree search algorithm. ...
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3answers
16k 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 ...
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1answer
395 views

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

What is the relation between back-propagation and reinforcement learning?
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2answers
505 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 ...
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2answers
270 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 ...
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4answers
214 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, ...
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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? ...
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3answers
133 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 ...
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1answer
608 views

Difference between partial searching and complete searching Algorithms

In Artificial intelligent, concerning the topic "finding solution by searching", we discussed partial searching and complete searching algorithms. But I can't understand the difference between partial ...
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2answers
378 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 ...
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2answers
104 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 "...
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1answer
417 views

Is there a theoretical maximum for intelligence?

From Artificial Intelligence: A Modern Approach, Third Edition, Chapter 26: Note that the concept of ultraintelligent machines assumes that intelligence is an especially important attribute, and if ...
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1answer
170 views

Searching keywords on web

I have not studied machine learning or AI really, but my job sometimes requires me to automate stuff. Right now the requirement I have, seems to be under AI domain, but I am not sure about ...
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4answers
215 views

Can a technological singularity only occur with ultra-intelligent machines, or can other type of maximizers cause technological singularities?

From Artificial Intelligence: A Modern Approach, Third Edition... In Chapter 26, the textbook discussed "technological singularity". It quotes I.J. Good, who wrote in 1965: Let an ultraintelligent ...
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4answers
272 views

How can one distinguish between an AI and a “sufficiently advanced algorithm”?

Any sufficiently advanced algorithm is indistinguishable from AI.---Michael Paulukonis According to What are the minimum requirements to call something AI?, there are certain requirements that a ...
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2answers
305 views

What exactly are the differences between semantic and lexical-semantic networks?

What exactly are the differences between semantic and lexical-semantic networks?
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2answers
192 views

Are CRUD webapps today the modern version of the “expert system”?

From Wikipedia, citations omitted: In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to ...
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2answers
822 views

How can we connect artificial intelligence with cognitive psychology?

Cognitive Psychology is one of the basic sciences of artificial intelligence (AI). The founder of the psychology is Wilhelm W.(1832-1920), who engaged in empirical methods,and was interested in the ...
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1answer
127 views

What is the definition of artificial intelligence? [duplicate]

The concept is intrinsically related with building some sort of media for the AI to exists. We may think of a digital computer, programmed to use language and act in a way that we cannot be ...
9
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1answer
473 views

What are Hyper-heuristics?

I wanted to know what the differences between hyper-heuristics and meta-heuristics are, and what their main applications are. Which problems are suited to be solved by Hyper-heuristics?
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1answer
151 views

What is Statistical relational learning?

I have gone through the wikipedia explanation of SRL. But, it only confused me more: Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is ...
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1answer
107 views

What is predicate argument recognition?

There is a study about The Necessity of Parsing for Predicate Argument Recognition, however I couldn't find much information about 'Predicate Argument Recognition' which could explain it. What is it ...
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3answers
1k views

What are the criteria for a system to be considered intelligent?

For example, could you provide reasons why a sundial is not "intelligent"? A sundial senses its environment and acts rationally. It outputs the time. It also stores percepts. (The numbers the ...
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1answer
1k views

What is the Control Problem?

The Wikipedia page describes AI control problem in very intricated way. Therefore I would like to better understand it based on some simple explanation, what's going on. Basically I don't want any ...