artificial-intelligence synonyms
- development of 'thinking' computer systems
- expert system
- expert systems
- intelligent retrieval
- knowledge engineering
- machine learning
- natural language processing
- neural network
- neural networks
- robotics
| robotics | AI |
|---|---|
| machine learning | natural language processing |
| expert system | expert systems |
| knowledge engineering | neural network |
| neural networks | intelligent retrieval |
How to use artificial intelligence in a sentence
The startled operators at Umballa could obtain no further intelligence and the boy was slain at his post.
virtual reality
Roget's 21st Century Thesaurus, Third Edition Copyright © 2013 by the Philip Lief Group.
When was artificial intelligence invented?
Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an " AI winter "), followed by new approaches, success and renewed funding.
Who proposed artificial intelligence?
Edward Fredkin argues that "artificial intelligence is the next stage in evolution", an idea first proposed by Samuel Butler 's " Darwin among the Machines " as far back as 1863, and expanded upon by George Dyson in his book of the same name in 1998.
How can a machine with general intelligence solve a wide variety of problems with a breadth and versatility similar to?
A machine with general intelligence can solve a wide variety of problems with a breadth and versatility similar to human intelligence. There are several competing ideas about how to develop artificial general intelligence. Hans Moravec and Marvin Minsky argue that work in different individual domains can be incorporated into an advanced multi-agent system or cognitive architecture with general intelligence. Pedro Domingos hopes that there is a conceptually straightforward, but mathematically difficult, " master algorithm " that could lead to AGI. Others believe that anthropomorphic features like an artificial brain or simulated child development will someday reach a critical point where general intelligence emerges .
How is AI used in robotics?
AI is heavily used in robotics. Advanced robotic arms and other industrial robots, widely used in modern factories, can learn from experience how to move efficiently despite the presence of friction and gear slippage. A modern mobile robot, when given a small, static, and visible environment, can easily determine its location and map its environment; however, dynamic environments, such as (in endoscopy) the interior of a patient's breathing body, pose a greater challenge. Motion planning is the process of breaking down a movement task into "primitives" such as individual joint movements. Such movement often involves compliant motion, a process where movement requires maintaining physical contact with an object. Moravec's paradox generalizes that low-level sensorimotor skills that humans take for granted are, counterintuitively, difficult to program into a robot; the paradox is named after Hans Moravec, who stated in 1988 that "it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility". This is attributed to the fact that, unlike checkers, physical dexterity has been a direct target of natural selection for millions of years.
What are the goals of AI?
The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals.
How does intelligent planning work?
An intelligent agent that can plan makes a representation of the state of the world, makes predictions about how their actions will change it and makes choices that maximize the utility (or "value") of the available choices. In classical planning problems, the agent can assume that it is the only system acting in the world, allowing the agent to be certain of the consequences of its actions. However, if the agent is not the only actor, then it requires that the agent reason under uncertainty, and continuously re-assess its environment and adapt. Multi-agent planning uses the cooperation and competition of many agents to achieve a given goal. Emergent behavior such as this is used by evolutionary algorithms and swarm intelligence.
What is AI in science?
Artificial intelligence ( AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals. Leading AI textbooks define the field as the study of " intelligent agents ": any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
Why do you need to name artificial intelligence?
But as artificial intelligence doesn’t come with names like Siri and Alexa, you need to name them because you can’t simply call them “Computer”.
Is it bad to name AI after a fantasy character?
Not bad at all! We all love fantasies. They are surreal and gives us the feeling of imaginary real things. Like the unicorn, we can simply picture the white horse-like creature with horn and soft light everywhere around. Wow! Naming your AI after any fantasy character will be fun. Here are some name ideas you can consider if you want to take some fantasy-tic chance.
Is artificial intelligence fictional?
The artificial intelligence is fictional, so why not we be inspired by some names from the favorite sci-fi movies of all time? We all love those science fiction movies, and to some extent, we so wanted those characters to be a part of our life. So here is your chance to get that in real.
