Artificial Intelligence: Second Edition
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: Chipped and worn with some minor damage
Pages: Good
At the frontier of computer science stands a discipline that dared to ask the most audacious question of the modern age: can machines think? Artificial Intelligence by Patrick Henry Winston is a landmark academic text that chronicles the foundational principles, methods, and mechanisms behind intelligent machine behaviour, guiding students and researchers through the core concepts of knowledge representation, problem-solving, learning, and natural language processing with rigorous clarity and intellectual depth. Winston, a preeminent figure at MIT's Artificial Intelligence Laboratory, presents the subject with a pedagogy that balances theoretical rigour with practical illustration, making abstract computational ideas accessible without sacrificing academic integrity. This second edition reflects the rapid evolution of the field, incorporating updated insights that cement its status as one of the most authoritative and widely adopted textbooks in computer science curricula worldwide. For anyone seeking to understand the architecture of machine intelligence — from its logical underpinnings to its ambitious reach — this volume remains an essential, enduring guide that raises as many profound questions as it answers.
Author: Patrick Henry Winston
Format: Hardback
Published: 1984, Addison-Wesley
Genre: Science
Condition remarks:
Book: Good
Jacket: Chipped and worn with some minor damage
Pages: Good
At the frontier of computer science stands a discipline that dared to ask the most audacious question of the modern age: can machines think? Artificial Intelligence by Patrick Henry Winston is a landmark academic text that chronicles the foundational principles, methods, and mechanisms behind intelligent machine behaviour, guiding students and researchers through the core concepts of knowledge representation, problem-solving, learning, and natural language processing with rigorous clarity and intellectual depth. Winston, a preeminent figure at MIT's Artificial Intelligence Laboratory, presents the subject with a pedagogy that balances theoretical rigour with practical illustration, making abstract computational ideas accessible without sacrificing academic integrity. This second edition reflects the rapid evolution of the field, incorporating updated insights that cement its status as one of the most authoritative and widely adopted textbooks in computer science curricula worldwide. For anyone seeking to understand the architecture of machine intelligence — from its logical underpinnings to its ambitious reach — this volume remains an essential, enduring guide that raises as many profound questions as it answers.