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Information Manipulation Theory (abbreviated IMT) is a theory of deceptive discourse production, rooted in H. Paul Grice's theory of conversational implicature. [1] [2] IMT argues that, rather than communicators producing truths and lies, the vast majority of everyday deceptive discourse involves complicated combinations of elements that fall somewhere in between these polar opposites; with ...
Intelligence amplification (IA) (also referred to as cognitive augmentation, machine augmented intelligence and enhanced intelligence) is the use of information technology in augmenting human intelligence. The idea was first proposed in the 1950s and 1960s by cybernetics and early computer pioneers.
Intelligence analysis is the application of individual and collective cognitive methods to weigh data and test hypotheses within a secret socio-cultural context. [1] The descriptions are drawn from what may only be available in the form of deliberately deceptive information; the analyst must correlate the similarities among deceptions and extract a common truth.
The landmark event establishing the discipline of information theory and bringing it to immediate worldwide attention was the publication of Claude E. Shannon's classic paper "A Mathematical Theory of Communication" in the Bell System Technical Journal in July and October 1948.
Intelligence quotient (IQ) tests do correlate with one another and that the view that the general intelligence factor (g) is a statistical artifact is a minority one. IQ scores are fairly stable during development in the sense that while a child's reasoning ability increases, the child's relative ranking in comparison to that of other ...
A recent lesion mapping study conducted by Barbey and colleagues provides evidence to support the P-FIT theory of intelligence. [54] [55] [56] Brain injuries at an early age isolated to one side of the brain typically results in relatively spared intellectual function and with IQ in the normal range. [57]
He was an originator of the branch of artificial intelligence based on machine learning, prediction and probability. He circulated the first report on non-semantic machine learning in 1956. [6] Solomonoff first described algorithmic probability in 1960, publishing the theorem that launched Kolmogorov complexity and algorithmic information theory.
If the intelligence cannot be reprogrammed by directly inputting new code, but requires the intelligence to reprogram itself through a process of analysis and decision based on information provided by a human, in order for it to overcome behavior which is inconsistent with the machines purpose or ability to function normally, then artificial ...