Nature & Science
The Knowledge IllusionThe Knowledge Illusion

The Knowledge Illusion

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Steven Sloman & Philip Fernbach

During the 1960s and 1970s, cognitive scientists likened the brain to a biological computer, a view influenced by concurrent advancements in computing and cognitive science. This analogy, rooted in Alan Turing’s ideas, was challenged in the 1980s by Thomas Landauer, who quantified human knowledge in computational terms, estimating it at roughly one gigabyte. His findings revealed that the brain’s primary function is not data storage but something more adaptive, as the complexity of the world far exceeds what any individual can comprehend. This insight raises questions about the brain’s evolutionary purpose, which seems tied to action and reasoning. Humans uniquely excel at diagnostic reasoning—tracing effects back to causes—a skill that has been pivotal for survival, scientific discovery, and storytelling, the latter enabling us to understand and shape our world. The evolution of brains, driven by the need for action, distinguishes humans from other species through our capacity for causal reasoning and collaboration. This collaborative ability, rooted in shared intentionality and the division of cognitive labor, has enabled humanity to achieve extraordinary feats, from building homes to exploring space. However, our reliance on intuition often leads to overconfidence in our understanding, as seen in the illusion of explanatory depth. This cognitive gap highlights the importance of humility and collective thinking. Similarly, our interactions with technology, which we often anthropomorphize, reveal both its utility and its limitations, as machines lack the shared intentionality that defines human intelligence. While fears about advancements like superintelligence or GMOs persist, they often stem from flawed causal reasoning and a lack of understanding. Addressing these misconceptions requires acknowledging the limits of intuition and embracing education, collaboration, and critical thinking as tools for progress.

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De quoi s'agit-il ?

This book delves into the fascinating intricacies of human cognition, exploring how our brains evolved not as mere data storage devices but as tools for action, collaboration, and reasoning. Through engaging stories and thought-provoking examples, it examines the limits of our understanding, the power of shared intentionality, and the role of intuition versus deliberation in decision-making. From the evolution of intelligence to the societal impact of groupthink and technological fears, it offers a compelling look at what truly sets humans apart. Perfect for anyone curious about the intersection of science, psychology, and the human experience.

Résumé du livre

Steven Sloman, a professor of cognitive linguistics, teaches at Brown University. He is also the editor of Cognition, a scientific journal dedicated to the study of cognitive science.

During the 1960s and 1970s, cognitive scientists likened the brain to a biological computer, a view influenced by concurrent advancements in computing and cognitive science. This analogy, rooted in Alan Turing’s ideas, was challenged in the 1980s by Thomas Landauer, who quantified human knowledge in computational terms, estimating it at roughly one gigabyte. His findings revealed that the brain’s primary function is not data storage but something more adaptive, as the complexity of the world far exceeds what any individual can comprehend. This insight raises questions about the brain’s evolutionary purpose, which seems tied to action and reasoning. Humans uniquely excel at diagnostic reasoning—tracing effects back to causes—a skill that has been pivotal for survival, scientific discovery, and storytelling, the latter enabling us to understand and shape our world. The evolution of brains, driven by the need for action, distinguishes humans from other species through our capacity for causal reasoning and collaboration. This collaborative ability, rooted in shared intentionality and the division of cognitive labor, has enabled humanity to achieve extraordinary feats, from building homes to exploring space. However, our reliance on intuition often leads to overconfidence in our understanding, as seen in the illusion of explanatory depth. This cognitive gap highlights the importance of humility and collective thinking. Similarly, our interactions with technology, which we often anthropomorphize, reveal both its utility and its limitations, as machines lack the shared intentionality that defines human intelligence. While fears about advancements like superintelligence or GMOs persist, they often stem from flawed causal reasoning and a lack of understanding. Addressing these misconceptions requires acknowledging the limits of intuition and embracing education, collaboration, and critical thinking as tools for progress.

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Toutes les bouchées
bite11 Bites

The Illusion of Knowing: Why We Overestimate Understanding

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Rethinking the Brain: Beyond Biological Computing

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Brains Evolved to Act, Reason, and Thrive

3
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Mastering Cause and Effect Through Stories

4
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Mastering Intuition and the Limits of Knowledge

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Thinking Beyond the Mind: Embodied Intelligence

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How Collaboration Shaped the Human Brain

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Why We Trust Tools That Can’t Think

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Decoding GMO Fears and Misconceptions

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Breaking Free from Groupthink's Grip

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Redefining Genius: The Power of Collaboration

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