Best
Computational Logic
books of all time
(2024)
"Handbook of Practical Logic and Automated Reasoning" by John Harrison
Pub. Year
2009
Last Ed.
2009
Pages
702
John Harrison's 'Handbook of Practical Logic and Automated Reasoning' is an essential guide for those interested in the practical aspects of implementing logic and automated reasoning in computing. It's particularly useful for students and practitioners in fields like artificial intelligence, formal methods, and software engineering.
The book stands out for its comprehensive coverage of the principles of automated reasoning and its practical applications. Harrison’s expertise in the field is evident in the depth of content and the inclusion of real-world examples, making complex topics accessible and applicable.
"Logic in Computer Science: Modelling and Reasoning about Systems" by Michael Huth, Mark Ryan
Pub. Year
2004
Last Ed.
2004
Huth and Ryan's 'Logic in Computer Science' is a comprehensive text that delves into the use of formal logic as a tool for modeling and reasoning about computer systems and software. It is an excellent resource for computer science students and professionals interested in formal verification and software modeling.
The book excels in demonstrating how logic can be applied to various problems in computer science, including system verification and security. Its practical approach, combined with theoretical depth, provides readers with the skills needed to apply logic effectively in computer science contexts.
"The Art of Prolog: Advanced Programming Techniques" by Leon Sterling, Ehud Y. Shapiro
Pub. Year
1986
Last Ed.
1994
Pages
312
In 'The Art of Prolog,' Sterling and Shapiro present an in-depth exploration of the Prolog programming language, known for its utility in artificial intelligence and computational linguistics. The book is perfect for programmers and students who are interested in advanced programming techniques and artificial intelligence.
This book is notable for its thorough coverage of Prolog, including both its theoretical foundations and practical applications. The authors’ detailed approach makes it a valuable resource for those seeking to master Prolog and understand its applications in artificial intelligence.