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Synthetic intelligence (SI) is an alternative/opposite term for artificial intelligence emphasizing that the intelligence of machines need not be an imitation or in any way artificial; it can be a genuine form of intelligence.
Also artificial emotional intelligence or emotion AI. The study and development of systems and devices that can recognize, interpret, process, and simulate human affects. Affective computing is an interdisciplinary field spanning computer science, psychology, and cognitive science. [14] [15] agent architecture
Artificiality (the state of being artificial, anthropogenic, or man-made) is the state of being the product of intentional human manufacture, rather than occurring naturally through processes not involving or requiring human activity.
An apocryphal story relates how Charles II (or sometimes Queen Anne) described St Paul's Cathedral (using contemporaneous English) as "awful, pompous, and artificial", with the meaning (rendered in modern English) of "awe-inspiring, majestic, and ingeniously designed." [8]
Humans are animals, despite the fact that the word animal is colloquially used as an antonym for human. [180] [181] Ecosystems do not naturally move back towards an equilibrium using negative feedback. [182] The concept of an inherent "balance of nature" has been superseded by chaos theory. [183]
Synthetic intelligence a term emphasizing that true intelligence expressed by computing machines is not an imitation or "artificial." Synthetic or constructed language, such as Esperanto; Synthetic music, produced by a synthesizer, a machine to create artificial sound and music; Synthetic chord in music theory
Oxymorons in the narrow sense are a rhetorical device used deliberately by the speaker and intended to be understood as such by the listener. In a more extended sense, the term "oxymoron" has also been applied to inadvertent or incidental contradictions, as in the case of "dead metaphors" ("barely clothed" or "terribly good").
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]