Isbn: 9780691205700 - what makes us smart: the computational logic of human cognition (22 risultati)

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2022

    0691205701 / 9780691205700

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    Condizione: New. 2022. Hardback. . . . . .

  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, US, 2021

    0691205701 / 9780691205700

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    Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA

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    Hardback. Condizione: New. How a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory-in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.…

  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Princeton University Press, US, 2021

    0691205701 / 9780691205700

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    Hardback. Condizione: New. How a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory-in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.…

  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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    Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, 2021

    0691205701 / 9780691205700

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  • Lingua: Inglese

    Editore: Princeton University Press, New Jersey, 2021

    0691205701 / 9780691205700

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    Hardcover. Condizione: new. Hardcover. How a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory-in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Princeton Univ Pr, 2021

    0691205701 / 9780691205700

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Hardcover. Condizione: Brand New. 264 pages. 9.25x6.00x0.75 inches. In Stock.

  • Lingua: Inglese

    Editore: Princeton University Press, US, 2021

    0691205701 / 9780691205700

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    Hardback. Condizione: New. How a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory-in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.…

  • Lingua: Inglese

    Editore: Princeton University Press, US, 2021

    0691205701 / 9780691205700

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    Hardback. Condizione: New. How a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory-in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.…

  • Lingua: Inglese

    Editore: Princeton Univ Pr, 2021

    0691205701 / 9780691205700

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    Hardcover. Condizione: Brand New. 264 pages. 9.25x6.00x0.75 inches. In Stock.

  • Lingua: Inglese

    Editore: Princeton University Press, New Jersey, 2021

    0691205701 / 9780691205700

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    Hardcover. Condizione: new. Hardcover. How a computational framework can account for the successes and failures of human cognitionAt the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory-in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the "stupid" errors of human cognition.Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors.Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…