
Ebook Info
- Published: 1995
- Number of pages: 326 pages
- Format: PDF
- File Size: 5.11 MB
- Authors: Melvin Fitting
Description
There are many kinds of books on formal logic. Some have philosophers as their intended audience, some mathematicians, some computer scien tists. Although there is a common core to all such books, they will be very different in emphasis, methods, and even appearance. This book is intended for computer scientists. But even this is not precise. Within computer science formal logic turns up in a number of areas, from pro gram verification to logic programming to artificial intelligence. This book is intended for computer scientists interested in automated theo rem proving in classical logic. To be more precise yet, it is essentially a theoretical treatment, not a how-to book, although how-to issues are not neglected. This does not mean, of course, that the book will be of no interest to philosophers or mathematicians. It does contain a thorough presentation of formal logic and many proof techniques, and as such it contains all the material one would expect to find in a course in formal logic covering completeness but, not incompleteness issues. The first item to be addressed is, What are we talking about and why are we interested in it? We are primarily talking about truth as used in mathematical discourse, and our interest in it is, or should be, self evident. Truth is a semantic concept, so we begin with models and their properties. These are used to define our subject.
User’s Reviews
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐A comprehensive and practical book on formal systems. All the proofs are here, which will please mathematicians, and there is enough working Prolog code to satisfy the computer scientists. If the proofs don’t interest you, skip them. The definitions are clear and there are plenty of useful examples – just what is missing from all those Axiomatic Set Theory books.
⭐The difference in the cultures between math and computer science and mathematics could really be felt. I’m a mathematician type, and I thought the book was a little tough to read, because of his funky wording at times. Still, it’s not bad.
⭐
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