Artificial Intelligence: International Student 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.
Edition: Second Edition.
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Good
Condition remarks: Condition as shown in image
At the dawn of the computing age, one foundational text cut through the fog of speculation and grounded the nascent field of machine intelligence in rigorous, teachable science — Elaine Rich's Artificial Intelligence stands as that cornerstone work, presenting a comprehensive and systematic introduction to the principles, methods, and challenges of building intelligent machines. The book chronicles the core subfields of AI with precision and clarity, covering search algorithms, knowledge representation, natural language processing, computer vision, and problem-solving strategies, making it an indispensable resource for students and practitioners alike. Rich's authoritative prose instructs readers through both the theoretical underpinnings and practical applications of AI, weaving together formal logic, heuristics, and computational models into a coherent intellectual framework. Each chapter builds methodically upon the last, ensuring that even complex topics such as planning systems and learning algorithms are rendered accessible without sacrificing depth or academic rigour. Rich's writing style is notable for its balance of mathematical precision and conceptual clarity, a quality that earned Artificial Intelligence its place as the definitive university textbook of its era and a touchstone for an entire generation of computer scientists. The International Student Edition made these ideas globally accessible, cementing the book's influence far beyond its American origins and shaping AI curricula across the world. Its treatment of foundational concepts remains remarkably prescient — many of the problems Rich articulated decades ago continue to sit at the very heart of modern AI research. For anyone seeking to understand not just how artificial intelligence works, but why it remains one of humanity's most profound and unresolved intellectual endeavours, this volume is an essential starting point.
Author: Elaine Rich
Format: Paperback
Published: 1984, McGraw-Hill
Genre: Science
Edition: Second Edition.
Condition remarks:
Book: Good
Jacket: No dust jacket
Pages: Good
Condition remarks: Condition as shown in image
At the dawn of the computing age, one foundational text cut through the fog of speculation and grounded the nascent field of machine intelligence in rigorous, teachable science — Elaine Rich's Artificial Intelligence stands as that cornerstone work, presenting a comprehensive and systematic introduction to the principles, methods, and challenges of building intelligent machines. The book chronicles the core subfields of AI with precision and clarity, covering search algorithms, knowledge representation, natural language processing, computer vision, and problem-solving strategies, making it an indispensable resource for students and practitioners alike. Rich's authoritative prose instructs readers through both the theoretical underpinnings and practical applications of AI, weaving together formal logic, heuristics, and computational models into a coherent intellectual framework. Each chapter builds methodically upon the last, ensuring that even complex topics such as planning systems and learning algorithms are rendered accessible without sacrificing depth or academic rigour. Rich's writing style is notable for its balance of mathematical precision and conceptual clarity, a quality that earned Artificial Intelligence its place as the definitive university textbook of its era and a touchstone for an entire generation of computer scientists. The International Student Edition made these ideas globally accessible, cementing the book's influence far beyond its American origins and shaping AI curricula across the world. Its treatment of foundational concepts remains remarkably prescient — many of the problems Rich articulated decades ago continue to sit at the very heart of modern AI research. For anyone seeking to understand not just how artificial intelligence works, but why it remains one of humanity's most profound and unresolved intellectual endeavours, this volume is an essential starting point.