Understanding Intelligence

Ken Richardson

ISBN 10: 1108940366 / ISBN 13: 9781108940368

Editore: Cambridge University Press, 2022

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A clean crisp well preserved 2022 Cambridge University Press softcover in a fine tight binding. Little to no shelf wear. Text is bright and free of marks or underlining. Fast shipping in a secure book box mailer with tracking. Have you ever wondered why psychologists still can't agree on what intelligence is? Or felt dismayed by debates around individual differences? Criticising the pitfalls of IQ testing, this book explains the true nature of intelligent systems, and their evolution from cells to brains to culture and human minds. Understanding Intelligence debunks many of the myths and misunderstandings surrounding intelligence. It takes a new look at the nature of the environment and the development of 'talent' and achievement. This brings fresh and radical implications for promoting intelligence and creativity, and prompts readers to reconsider their own possibilities and aspirations. Providing a broad context to the subject, the author also unmasks the ideological distortions of intelligence in racism and eugenics, and the suppressed expectations across social classes and genders. This book is a must-read for anyone curious about our own intelligence.

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Dati bibliografici

• Titolo: Understanding Intelligence
• Editore: Cambridge University Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1108940366
• ISBN 13: 9781108940368
• Rilegatura: Paperback
• Condizione: New
• Cataloghi dei venditori:
  • Psychology: Neuroscience

Descrizione articolo

Riassunto

This accessible book explains the origins, evolution, and nature of intelligence, from single cells to human culture and cognition.

Informazioni sull?autore

Ken Richardson is a former senior lecturer at the Open University, UK, and an independent researcher, consultant, and author. After completing a doctorate in brain biochemistry he became interested in cognitive systems, chiefly developmental, and how these areas, as intelligent systems, are inter-related through evolution.