![]() It contrasts with fluid intelligence (see Fluid intelligence) as one of the two factors of general intelligence first proposed by Cattell (1971). Crystallized intelligence (abbreviated Gc) is reflected in a person`s general knowledge, vocabulary, and thinking based on the information acquired. However, the fluid intelligence approach was characterized by complexity. 125) Since crystallized intelligence is known to improve over time and remain stable with age, it is generally accepted that education and experience increase crystallized intelligence (Cavanaugh and Blanchard-Fields, 2006). What for? Because, “at a certain point in life, the cumulative effect of losses – of work, health, relationships – leads to detachment from culture, and therefore forgetfulness eventually exceeds the speed at which knowledge is acquired.” (S. 125) On the other side of the debate, Belsky (1990) argues that crystallized intelligence actually decreases with age. He says it could even increase “if the speed at which we acquire or learn new information over the course of life balances or exceeds the rate at which we forget.” (cited in Belsky, 1990, p. ![]() ![]() Horn (1970) hypothesized that crystallized intelligence, since it is based on learning and experience, remains relatively stable over time. There is an intense debate among psychologists about whether or not intelligence decreases with age. Crystallized intelligence is important for psychologists because it relates to the study of aging. The best part is that we have control (at least to some extent) over the overdevelopment of these two types of intelligence. doi:10.1016/j.neuropsychologia.2016.08.008 However, as we now know, our crystallized and fluid intelligence can increase or decrease over time. A turning point model of individual differences in fluid intelligence. Kievit RA, Davis SW, Griffiths J, Correia MM, Cam-can, Henson RN. ![]() It correlates with essential skills such as understanding and learning. Fluid intelligence allows us to perceive the relationships between variables and draw conclusions about them and conceptualize abstract information that helps solve problems. ![]()
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