Artificial Intelligence: Making Machines "Think"
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: Good
Condition remarks: Condition as shown in image
At the dawn of the computing age, Neill Graham's Artificial Intelligence: Making Machines Think presents one of the earliest accessible introductions to a field that would go on to reshape civilisation itself. The book chronicles the foundational concepts behind machine intelligence — from symbolic reasoning and problem-solving algorithms to the philosophical boundaries of what it truly means for a machine to think — drawing in readers who dared to imagine a world where silicon could rival the human mind. Graham writes with clarity and purpose, dismantling complex technical theory into digestible arguments that speak equally to the curious layperson and the budding computer scientist. This volume stands as a fascinating historical artefact of AI's formative years, capturing the boundless optimism and rigorous inquiry of a discipline still finding its footing — leaving the reader to wonder just how far those early ideas have carried us, and how much further they might yet go.
Author: Neill Graham
Format: Paperback
Genre: Science
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Good
Condition remarks: Condition as shown in image
At the dawn of the computing age, Neill Graham's Artificial Intelligence: Making Machines Think presents one of the earliest accessible introductions to a field that would go on to reshape civilisation itself. The book chronicles the foundational concepts behind machine intelligence — from symbolic reasoning and problem-solving algorithms to the philosophical boundaries of what it truly means for a machine to think — drawing in readers who dared to imagine a world where silicon could rival the human mind. Graham writes with clarity and purpose, dismantling complex technical theory into digestible arguments that speak equally to the curious layperson and the budding computer scientist. This volume stands as a fascinating historical artefact of AI's formative years, capturing the boundless optimism and rigorous inquiry of a discipline still finding its footing — leaving the reader to wonder just how far those early ideas have carried us, and how much further they might yet go.