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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7
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1answer
8k views

What is the fringe in the context of search algorithms?

What is the fringe in the context of search algorithms?
7
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3answers
414 views

What types of applications qualify as “compound intelligences”?

A question about swarm intelligence as a potential method of strong general AI came up recently, and yielded some useful answers and clarifications regarding the nature of swarm intelligence. But it ...
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2answers
99 views

Why do we need learning in unsupervised learning? [duplicate]

I am not clear with the concept that an unsupervised model learns. We are giving an input and output to the supervised model, so that it can generate a particular value, pattern or something out of it ...
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0answers
86 views

Are all fully observable environments episodic?

According to the definition of a fully observable environment in Russell & Norvig, AIMA (2nd ed), pages 41-44, an environment is only fully observable if it requires zero memory for an agent to ...
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6answers
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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 ...
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1answer
465 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
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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 ...
7
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1answer
358 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
329 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
35 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? ...
2
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1answer
433 views

What is the meaning of a 2D stride?

I know what meaning stride has when it is just an integer number (by which step you should apply a filter to the image). But about (1, 1) or even more dimensional ...
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3answers
196 views

Is there any artificially intelligent system that really mimics human intelligence?

After having read something that Elon Musk said about artificial intelligence and how it could affect our lives, I've been reading about artificial intelligence, deep learning, etc. The recurrent ...
5
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1answer
3k 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?
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1answer
799 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 ...
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1answer
19k views

What are some examples of intelligent agents for each intelligent agent class?

There are several classes of intelligent agents, such as: simple reflex agents model-based reflex agents goal-based agents utility-based agents learning agents Each of these agents behaves slightly ...
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2answers
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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 ...
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2answers
157 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 "...
3
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1answer
183 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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3answers
333 views

Can a technological singularity only occur with superintelligence?

In Chapter 26 of the book Artificial Intelligence: A Modern Approach (3rd edition), the textbook discusses "technological singularity". It quotes I.J. Good, who wrote in 1965: Let an ultra-...
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4answers
309 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
477 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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3answers
263 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 solve ...
5
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1answer
841 views

What is a trap function in the context of a genetic algorithm?

What is a trap function in the context of a genetic algorithm? How is it related to the concepts of local and global optima?
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1answer
186 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 ...
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13answers
11k views

Is AI living or non-living?

I'm a bit confused about the definition of life. Can AI systems be called 'living'? Because they can do most of the things that we can. They can even communicate with one another. They are not ...
11
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1answer
648 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
194 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 ...
7
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1answer
185 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
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What are the criteria for a system to be considered intelligent? [duplicate]

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
2k 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 ...
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2answers
444 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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7answers
3k views

What are the minimum requirements to call something AI?

I believe artificial intelligence (AI) term is overused nowadays. For example, people see that something is self-moving and they call it AI, even if it's on autopilot (like cars or planes) or there is ...
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1answer
145 views

Is Deep Blue superintelligent or not?

When AI has some narrow domain, such as chess, where it can outperform the world's human masters of chess, does it make it a superintelligence or not?
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1answer
838 views

What does “death” intuitively mean in the paper “Death and Suicide in Universal Artificial Intelligence”?

In the paper Death and Suicide in Universal Artificial Intelligence, a proposal is given for what death could mean for Artificial Intelligence. What does this mean using English only? I understand ...
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3answers
6k views

Why can't OCR be perceived as a good example of AI?

On the Wikipedia page about AI, we can read: Optical character recognition is no longer perceived as an exemplar of "artificial intelligence" having become a routine technology. On the other hand, ...
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2answers
653 views

How can the multiple intelligences model be incorporated into AI?

I have been wondering since a while ago about the theory of multiple intelligences and how they could fit in the field of Artificial Intelligence as a whole. We hear from time to time about Leonardo ...
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3answers
233 views

What is a deep neural network? [duplicate]

What is the definition of a deep neural network? Why are they so popular or important?
16
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1answer
370 views

Are search engines considered AI?

Are search engines considered AI because of the way they analyze what you search for and remember it? Or how they send you ads of what you've searched for recently? Is this considered AI or just ...
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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?
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4answers
149 views

Does the recent advent of a Go playing computer represent Artificial Intelligence?

I read that in the spring of 2016 a computer Go program was finally able to beat a professional human for the first time. Now that this milestone has been reached, does that represent a significant ...
36
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4answers
1k views

What is the concept of the technological singularity?

I've heard the idea of the technological singularity, what is it and how does it relate to Artificial Intelligence? Is this the theoretical point where Artificial Intelligence machines have progressed ...
8
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1answer
479 views

What is “early stopping” in machine learning?

What is early stopping in machine learning and, in general, artificial intelligence? What are the advantages of using this method? How does it help exactly? I'd be interested in perspectives and ...
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2answers
220 views

Are humans intelligent according to the definition of an intelligent agent?

Given the following definition of an intelligent agent (taken from a Wikipedia article) If an agent acts so as to maximize the expected value of a performance measure based on past experience and ...
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5answers
512 views

What is “backprop”?

What does "backprop" mean? Is the "backprop" term basically the same as "backpropagation" or does it have a different meaning?

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