A Thousand Brains A New Theory Of Intelligence Review
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On Intelligence
The inventor of the PalmPilot outlines a theory about the human brain's memory system that reveals new information about intelligence, perception, creativity, consciousness, and the human potential for creating intelligent computers.
Genes, Brains, and Human Potential
Author: Ken Richardson
language: en
Publisher: Columbia University Press
Release Date: 2017-03-21
For countless generations people have been told that their potential as humans is limited and fundamentally unequal. The social order, they have been assured, is arranged by powers beyond their control. More recently the appeal has been to biology, specifically the genes, brain sciences, the concept of intelligence, and powerful new technologies. Reinforced through the authority of science and a growing belief in bio-determinism, the ordering of the many for the benefit of a few has become more entrenched. Yet scientists are now waking up to the influence of ideology on research and its interpretation. In Genes, Brains, and Human Potential, Ken Richardson illustrates how the ideology of human intelligence has infiltrated genetics, brain sciences, and psychology, flourishing in the vagueness of basic concepts, a shallow nature-versus-nurture debate, and the overhyped claims of reductionists. He shows how ideology, more than pure science, has come to dominate our institutions, especially education, encouraging fatalism about the development of human intelligence among individuals and societies. Genes, Brains, and Human Potential goes much further: building on work being done in molecular biology, epigenetics, dynamical systems, evolution theory, and complexity theory, it maps a fresh understanding of intelligence and the development of human potential. Concluding with an upbeat message for human possibilities, this synthesis of diverse perspectives will engender new conversations among students, researchers, and other interested readers.
How We Learn
An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled and it remains the best source of inspiration for recent developments in artificial intelligence. In How We Learn, Stanislas Dehaene decodes the brain's biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but assures us that our abilities continue into adulthood and that we can enhance our learning and memory at any age. We can all learn to learn by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The exciting advancements in artificial intelligence of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities, as well as in everyday life.