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Fluid intelligence is the ability to solve novel reasoning problems and is correlated with a number of important skills such as comprehension, problem-solving, and learning. [4] Crystallized intelligence, on the other hand, involves the ability to deduce secondary relational abstractions by applying previously learned primary relational ...
The Wechsler intelligence scales were originally developed from earlier intelligence scales by David Wechsler.David Wechsler, using the clinical and statistical skills he gained under Charles Spearman and as a World War I psychology examiner, crafted a series of intelligence tests.
A superintelligence is a hypothetical agent that possesses intelligence surpassing that of the brightest and most gifted human minds. "Superintelligence" may also refer to a property of problem-solving systems (e.g., superintelligent language translators or engineering assistants) whether or not these high-level intellectual competencies are embodied in agents that act in the world.
The Wechsler Adult Intelligence Scale (WAIS) is an Intelligence Quotient (IQ) test designed to measure intelligence and cognitive ability in adults and older adolescents. [1] For children between the ages of 6 and 16, Wechsler Intelligence Scale for Children (WISC) is commonly used.
Human intelligence is the intellectual capability of humans, which is marked by complex cognitive feats and high levels of motivation and self-awareness.Using their intelligence, humans are able to learn, form concepts, understand, and apply logic and reason.
Studies have shown that while test scores have improved over time, the improvement is not fully correlated with latent factors related to intelligence. [31] Other researchers argue that the IQ gains described by the Flynn effect are due in part to increasing intelligence, and in part to increases in test-specific skills.
Higher-order thinking, also known as higher order thinking skills (HOTS), [1] is a concept applied in relation to education reform and based on learning taxonomies (such as American psychologist Benjamin Bloom's taxonomy). The idea is that some types of learning require more cognitive processing than others, but also have more generalized benefits.
Regardless of the initial timescale, once human-level machine intelligence is developed, a "superintelligent" system that "greatly exceeds the cognitive performance of humans in virtually all domains of interest" would most likely follow surprisingly quickly. Such a superintelligence would be very difficult to control.