Cognitive Science - Artificial Intelligence
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Cognitive Science - Artificial Intelligence
Cognitive science is the interdisciplinary scientific study of the mind and its processes. It examines what cognition is, what it does and how it works. It includes research on intelligence and behavior, especially focusing on how information is represented, processed, and transformed (in faculties such as perception, language, memory, reasoning, and emotion) within nervous systems (human or other animal) and machines (e.g. computers). Cognitive science consists of multiple research disciplines, including psychology, artificial intelligence, philosophy, neuroscience, linguistics, and anthropology. The fundamental concept of cognitive science is "that thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures." Wikipedia (en)
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Rescooped by Bernard Ryefield from Creativity - Problem Solving!

Gifted Children Get Ignored in School Despite Huge Future Contribution to Society

Gifted Children Get Ignored in School Despite Huge Future Contribution to Society | Cognitive Science - Artificial Intelligence |

Are exceptionally gifted children being failed by the education system?

The authors of the largest ever study of the profoundly gifted question whether the education system is providing enough support for highly talented young people.

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Scooped by Bernard Ryefield!

Characteristics and Problems of the Gifted: neural propagation depth and flow motivation as a model of intelligence and creativity

Giftedness, the potential for exceptional achievement,
is characterized by high intelligence and creativity. Gifted people
exhibit a complex of cognitive, perceptual, emotional, motivational
and social traits. Extending neurophysiological hypotheses about the
general intelligence (g) factor, a construct is proposed to explain these
traits: neural propagation depth. The hypothesis is that in more
intelligent brains, activation propagates farther, reaching less directly
associated concepts. This facilitates problem-solving, reasoning,
divergent thinking and the discovery of connections. It also explains
rapid learning, perceptual and emotional sensitivity, and vivid
imagination. Flow motivation is defined as the universal desire to
balance skills and challenges. Gifted people, being more cognitively
skilled, will seek out more difficult challenges. This explains their
ambition, curiosity and perfectionism. Balance is difficult to achieve
in interaction with non-gifted peers, though, explaining the gifted’s
autonomy, non-conformism and feeling of alienation. Together with
the difficulty to find fitting challenges this constitutes a major
obstacle to realizing the gifted’s potential. The appendix sketches a
simulation using word association networks to test the propagation
depth model by answering IQ-test-like questions.

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