Artificial intuition is the capacity of an artificial object or software to function with the factor of consciousness known as intuition, or a machine-based system that has some capacity to function analogous to human intuition.
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Comparison of human and computer abilities
Conventional human intuition is a function of the human mind, defined particularly by the psychologist and psychiatrist Carl Jung. Psychologist Jean Piaget showed that intuitive functioning within the normally developing human child at the Intuitive Thought Substage of the preoperational stage occurred at from four to seven years of age. In Carl Jung's concept of synchronicity, the concept of "intuitive intelligence" is described as something like a capacity that transcends ordinary-level functioning to a point where information is understood with a greater depth than is available in more simple rationally-thinking entities.
Artificial intuition is theoretically (or otherwise) a sophisticated function of an artifice that is able to interpret data with depth and locate hidden factors functioning in Gestalt psychology, and that intuition in the artificial mind would, in the context described here, be a bottom-up process upon a macroscopic scale identifying something like the archetypal (see τύπος).
To create artificial intuition supposes the possibility of the re-creation of a higher functioning of the human mind, with capabilities such as what might be found in semantic memory and learning. The transferral of the functioning of a biological system to synthetic functioning is based upon modeling of functioning from knowledge of cognition and the brain, for instance as applications of models of artificial neural networks from the research done within the discipline of computational neuroscience.
Application software contributing to its development
The notion of a process of a data-interpretative synthesis has already been found in a computational-linguistic software application that has been created for use in an internal security context. The software integrates computed data based specifically on objectives incorporating a paradigm described as "religious intuitive" (hermeneutic), functional to a degree that represents advances upon the performance of generic lexical data mining.
Veeramachaneni and others at MIT developed a machine which performed comparably to humans in a test of intuitive intelligence during 2015.
In fiction
Artificial intelligence in fiction often crosses the line to apparent artificial intuition, although it can't be shown if the intent of the fiction creator was to show a simulation of intuition or that real artificial intuition is part of the story's AI, because this depends on the internal structure of the programming of the AI, which is not usually shown in stories.