9783031004339-3031004337-Answer Set Solving in Practice (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Answer Set Solving in Practice (Synthesis Lectures on Artificial Intelligence and Machine Learning)

ISBN-13: 9783031004339
ISBN-10: 3031004337
Edition: 1
Author: Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub
Publication date: 2012
Publisher: Springer
Format: Paperback 240 pages
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Book details

ISBN-13: 9783031004339
ISBN-10: 3031004337
Edition: 1
Author: Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub
Publication date: 2012
Publisher: Springer
Format: Paperback 240 pages

Summary

Answer Set Solving in Practice (Synthesis Lectures on Artificial Intelligence and Machine Learning) (ISBN-13: 9783031004339 and ISBN-10: 3031004337), written by authors Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub, was published by Springer in 2012. With an overall rating of 4.4 stars, it's a notable title among other AI & Machine Learning (Applied, Mathematics, Computer Science) books. You can easily purchase or rent Answer Set Solving in Practice (Synthesis Lectures on Artificial Intelligence and Machine Learning) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR). More recently, its attractive combination of a rich yet simple modeling language with high-performance solving capacities has sparked interest in many other areas even beyond KRR. This book presents a practical introduction to ASP, aiming at using ASP languages and systems for solving application problems. Starting from the essential formal foundations, it introduces ASP's solving technology, modeling language and methodology, while illustrating the overall solving process by practical examples. Table of Contents: List of Figures / List of Tables / Motivation / Introduction / Basic modeling / Grounding / Characterizations / Solving / Systems / Advanced modeling / Conclusions

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