Artificial Intelligence: Second Edition

Artificial Intelligence: Second Edition

$15.00 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.


Condition remarks:
Book: Good
Jacket: Worn/faded, no tears
Pages: Good
Markings: Previous owner

A landmark academic text in computer science, Artificial Intelligence: Second Edition presents a rigorous and intellectually stimulating introduction to the foundational principles and methods of AI, written by one of the field's most influential figures. Winston instructs readers through core topics including problem-solving, knowledge representation, learning, and natural language processing, grounding each concept in clear theoretical frameworks and practical examples. The tone is precise and authoritative, reflecting decades of research and teaching at MIT, where Winston directed the Artificial Intelligence Laboratory. The text argues that intelligence — whether human or machine — can be understood through structured representations and processes, making it as philosophically compelling as it is technically thorough. A cornerstone of AI education, it remains an essential resource for students and researchers seeking a deep, systematic understanding of the discipline.

Author: Patrick Henry Winston
Format: Hardback

Genre: Science

Description


Condition remarks:
Book: Good
Jacket: Worn/faded, no tears
Pages: Good
Markings: Previous owner

A landmark academic text in computer science, Artificial Intelligence: Second Edition presents a rigorous and intellectually stimulating introduction to the foundational principles and methods of AI, written by one of the field's most influential figures. Winston instructs readers through core topics including problem-solving, knowledge representation, learning, and natural language processing, grounding each concept in clear theoretical frameworks and practical examples. The tone is precise and authoritative, reflecting decades of research and teaching at MIT, where Winston directed the Artificial Intelligence Laboratory. The text argues that intelligence — whether human or machine — can be understood through structured representations and processes, making it as philosophically compelling as it is technically thorough. A cornerstone of AI education, it remains an essential resource for students and researchers seeking a deep, systematic understanding of the discipline.