What Computers Can'T Do: The Limits Of Artificial Intelligence
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.
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Yellowed
Condition remarks: Condition as shown in image
At the height of artificial intelligence's most ambitious promises, philosopher Hubert L. Dreyfus issued a devastating and prescient challenge: that the dream of human-like machine intelligence was built on deeply flawed assumptions about the nature of the mind itself. What Computers Can't Do presents a rigorous, systematic critique of the AI research program, arguing that human cognition — rooted in embodiment, intuition, and context — cannot be reduced to the formal symbol manipulation that computers perform. Dreyfus dissects the biological, psychological, epistemological, and ontological presumptions underpinning classical AI, dismantling each with philosophical precision drawn from the traditions of Merleau-Ponty and Heidegger. This revised edition stands as one of the most significant and controversial works at the intersection of philosophy and computer science, a text that forced the AI community to confront the uncomfortable gap between algorithmic processing and genuine human understanding. Dreyfus writes with combative clarity, blending continental phenomenology with analytical rigor to construct an argument that remains intellectually vital decades after its first publication. For anyone who wonders whether a machine can truly think — or merely simulate thinking — this landmark work raises questions that the age of neural networks and large language models has made more urgent than ever.
Author: Hubert L. Dreyfus
Format: Paperback
Genre: Philosophy
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Yellowed
Condition remarks: Condition as shown in image
At the height of artificial intelligence's most ambitious promises, philosopher Hubert L. Dreyfus issued a devastating and prescient challenge: that the dream of human-like machine intelligence was built on deeply flawed assumptions about the nature of the mind itself. What Computers Can't Do presents a rigorous, systematic critique of the AI research program, arguing that human cognition — rooted in embodiment, intuition, and context — cannot be reduced to the formal symbol manipulation that computers perform. Dreyfus dissects the biological, psychological, epistemological, and ontological presumptions underpinning classical AI, dismantling each with philosophical precision drawn from the traditions of Merleau-Ponty and Heidegger. This revised edition stands as one of the most significant and controversial works at the intersection of philosophy and computer science, a text that forced the AI community to confront the uncomfortable gap between algorithmic processing and genuine human understanding. Dreyfus writes with combative clarity, blending continental phenomenology with analytical rigor to construct an argument that remains intellectually vital decades after its first publication. For anyone who wonders whether a machine can truly think — or merely simulate thinking — this landmark work raises questions that the age of neural networks and large language models has made more urgent than ever.