Computers, Chess, and Cognition - In-depth for AI Readers

In this review of Computers, Chess, and Cognition the reviewer finds a thoughtful, technically rich treatment of computer chess aimed at advanced undergraduates and researchers. The book's single biggest reason to buy is its clear exposition of major chess programs and tree searching methods, which together make it a useful bridge between practical systems and AI theory. Readers seeking a focused, academic discussion of how game playing relates to broader artificial intelligence questions will find the book especially valuable.

Key Features

• Detailed program descriptions: The book explains the workings of several major chess programs so readers can see how algorithms are implemented in practice.
• Comprehensive review of tree search: It presents tree searching methods in a unified way, making foundational techniques accessible to readers with a computing background.
• Balanced, edited chapters: The chapters use uniform terminology and a consistent writing style, which helps readers follow material across contributors.
• Discussion of new research ideas: The text highlights emerging directions in computer game playing that can inspire further study or experimentation.
• Philosophical perspective: There is a reflective treatment of the relationship between computer game playing and artificial intelligence, useful for those interested in broader implications.

Who It's For

This book is best for upper undergraduate students, graduate students, and professionals in computer science who want a focused, academic review of computer chess and related AI techniques. It suits readers who already have some background in algorithms or artificial intelligence and want to understand specific program architectures and search strategies.

Those looking for a beginner's introduction to chess programming or a general popular science overview should look elsewhere, since the book assumes a technical baseline and concentrates on research-level discussions rather than entry-level tutorials.

Pros & Cons

Pros

• Clear, technical descriptions of major chess programs that illuminate implementation choices.
• Thorough treatment of tree searching methods useful for both coursework and research.
• Consistent editorial approach that lowers the barrier between different authors' styles.

Cons

• Not suitable for casual readers or complete beginners due to its assumed technical audience.

Specifications

Our Verdict

Computers, Chess, and Cognition is a strong, well-edited academic resource for readers with a computing background who want to deepen their understanding of game-playing systems and search methods. It offers excellent value for students and researchers seeking a technical synthesis of program design, algorithmic foundations, and conceptual discussion of AI.

Frequently Asked Questions

Is this book suitable for beginners?
No. The book assumes an upper undergraduate level understanding of computer science and is aimed at readers with prior exposure to algorithms or AI.

Does it cover practical program implementations?
Yes. One of the book's strengths is its description of the workings of several major chess programs and how search methods are applied.

Will it help with current AI research?
It provides a useful conceptual and historical foundation and highlights research ideas that remain relevant to AI and game-playing work.