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Answer Set Solving in Practice [electronic resource] / by Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Torsten Schaub.

By: Gebser, Martin [author.].
Contributor(s): Kaminski, Roland [author.] | Kaufmann, Benjamin [author.] | Schaub, Torsten [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Artificial Intelligence and Machine Learning: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: XXV, 212 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031015618.Subject(s): Artificial intelligence | Machine learning | Neural networks (Computer science)  | Artificial Intelligence | Machine Learning | Mathematical Models of Cognitive Processes and Neural NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
List of Figures -- List of Tables -- Motivation -- Introduction -- Basic modeling -- Grounding -- Characterizations -- Solving -- Systems -- Advanced modeling -- Conclusions.
In: Springer Nature eBookSummary: 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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List of Figures -- List of Tables -- Motivation -- Introduction -- Basic modeling -- Grounding -- Characterizations -- Solving -- Systems -- Advanced modeling -- Conclusions.

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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