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What Makes Us Smart - The Computational Logic of Human Cognition (Hardcover)
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What Makes Us Smart - The Computational Logic of Human Cognition (Hardcover)
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How a computational framework can account for the successes and
failures of human cognition At 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.
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