Ebook Prolog Programming in Depth, by Michael A. Covington
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Prolog Programming in Depth, by Michael A. Covington
Ebook Prolog Programming in Depth, by Michael A. Covington
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From the Publisher
This text covers the Prolog programming language thoroughly with an emphasis on building practical application software, not just theory. Working through this book, students build several types of expert systems, as well as natural language processing software and utilities to read foreign file formats. This is the first book to cover ISO Standard Prolog, but the programs are compatible with earlier dialects of the language. Program files are available by FTP from The University of Georgia.
--This text refers to an out of print or unavailable edition of this title.
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From the Back Cover
This book covers the Prolog programming language thoroughly with an emphasis on building practical application software, not just theory. Working through this book, readers build several types of expert systems, as well as natural language processing software and utilities to read foreign file formats. This is the first book to cover ISO Standard Prolog, but the programs are compatible with earlier dialects of the language. Program files are available by FTP from The University of Georgia.
--This text refers to an out of print or unavailable edition of this title.
Read more
Product details
Paperback: 506 pages
Publisher: Scott Foresman & Co; First Edition edition (February 1, 1988)
Language: English
ISBN-10: 0673186598
ISBN-13: 978-0673186591
Package Dimensions:
9.2 x 7.6 x 1.7 inches
Shipping Weight: 2.8 pounds
Average Customer Review:
4.7 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#3,443,888 in Books (See Top 100 in Books)
I have been in the field of software development and architecture for quite a while now. While I value the rigor and comprehensive nature of academic texts on specific topics in this field, I frequently find them to be overly abstract to easily apply to a particular problem domain. This text provides an excellent, pragmatic, and easy to apply introduction to both the Prolog semantic model and language structure, as well as its differences from traditional procedural or assignment-based programming languages and metaphors. I also have "The Art of Prolog" and several other books on the topic, but this is the book that I find myself repeatedly using as a reference on how to most clearly and easily represent and solve a particular problem using this extremely flexible and expressive language. Kudos to the authors for an excellent presentation on the subject!
This is an excellent reference and great examples in a time that it is difficult to find anything to help with Prolog.Great for the person with no experience in Prolog that has inherited an application written in Prolog.
Extremely solid introduction to Prolog. Does not leave you wondering what is going onas I have seen MANY other books on Prolog do. Wish I had read this as my first Prolog book.
One of the most underrated schools of thought in AI and NLP is the the school which was lead by Michael Covington and Donald Nute at University of Georgia. It is the opinion of this reviewer that this school produced, in its papers, thesis of grad students, and books, the most impressive results in discourse representation theory produced in the western hemisphere, and are comparable with those produced anywhere else in the world.This book--a product of that school--is such an unexpected little gem of a prolog book. I wish I would have stumbled across it much earlier in my quest for prolog mastery, because it would have saved me at least 18 months of struggling to learn prolog tools and techniques--techniques which were not only scattered among dozens of books, but were not nearly as clearly described.One area which this book covers which virtually no other prolog book covers is nondefault reasoning. Really a remarkable discussion. Unfortunately, I think that the techniques of nondefault reasoning which are covered in this book have been superceeded by newer techniques, such as probabilistic horn abduction and Baysian methods. But just because these techniques are of historical interest doesn't mean they are of no interest, and the treatment they get here is clear, honest, and more complete than anywhere else I've looked.
This book has been an excellent material for me to develop my Logic Programming skills. That is because it provides not only theory of Prolog programming but also very useful artificial intelligence applications and expert system shells even with uncertainty. Another useful feature I liked much is; the book makes comparisons (where needed) between how to do the same thing in Prolog and in a conventional programming language, Pascal.
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