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Rating: 
Summary: Excellent Textbook for a First Logic Course in CS
Review: I really liked this book. It is full of examples, and the explanations are clear and concise. The book guides you through predicate logic and first order logic and procedures for automated deductive systems for them. No previous knowledge is assumed. The book is also full of exercises and problems.I do recommend this book for students of Computer Science and Mathematics who want to start learning about automated deductive systems and axiomatic theories.
Rating:
Summary: A Good Start Toward Automated Reasoning
Review: This book is a good introductory catalog of automated reasoning concepts and methods. But I believe that programmers who are going to write automated reasoning systems should augment their computer knowledge (of logic) by learning a full- blown (serial, not tree) logical notation for both 1st and 2nd order predicate calculus. Solving the inference problem is NP-Complete, and computational cycles explode as the number of premisses increase. Automated methods of solving the inference problem are often O(n^2) and often infeasible, for "real-world" problems. Most programmers don't have a broad enough horizon in formal logic to quickly recognize WHEN a certain automated technique will be useful. I suggest a symbolic logic text such as Copi's Symbolic Logic, 5th ed., and then aggressively read about optimizing methods which are currently being developed (ex. Optimization Methods for Logical Inference, Chandru et alia). However, as an introduction, the reviewed book is excellent.
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