What Computers Still Can't Do: A Critique Of Artificial Reason

What Computers Still Can't Do: A Critique Of Artificial Reason

$30.00 AUD

Availability: in stock at our Tullamarine warehouse

Condition: SECONDHAND

This is a secondhand book. The jacket image is a photograph of the exact copy we have in stock. This image shows the condition of this book. Further condition remarks are below.

Author: Hubert L. Dreyfus
Binding: Paperback
Published: The MIT Press, 1992

Condition:
Book: Good
Jacket: No dust jacket
Pages: Good
Markings: No markings
Condition remarks: Condition as shown in image. Bruised spine, otherwise clean text.

In this seminal work of philosophy and artificial intelligence, "What Computers Still Can't Do: A Critique of Artificial Reason," Hubert L. Dreyfus presents a compelling argument against the then-prevailing optimism surrounding AI. Dreyfus meticulously details the inherent limitations of artificial intelligence, asserting that human understanding and intuition cannot be fully replicated by computational processes. He challenges the foundational assumptions of early AI research, illustrating how human expertise relies on a vast, often unarticulated, background of common sense and embodied experience. This influential text remains a crucial read for anyone interested in the philosophical underpinnings and ongoing debates within the field of artificial intelligence.

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Description

Author: Hubert L. Dreyfus
Binding: Paperback
Published: The MIT Press, 1992

Condition:
Book: Good
Jacket: No dust jacket
Pages: Good
Markings: No markings
Condition remarks: Condition as shown in image. Bruised spine, otherwise clean text.

In this seminal work of philosophy and artificial intelligence, "What Computers Still Can't Do: A Critique of Artificial Reason," Hubert L. Dreyfus presents a compelling argument against the then-prevailing optimism surrounding AI. Dreyfus meticulously details the inherent limitations of artificial intelligence, asserting that human understanding and intuition cannot be fully replicated by computational processes. He challenges the foundational assumptions of early AI research, illustrating how human expertise relies on a vast, often unarticulated, background of common sense and embodied experience. This influential text remains a crucial read for anyone interested in the philosophical underpinnings and ongoing debates within the field of artificial intelligence.