Answer Set Solving in Practice - Roland Kaminski,Martin Gebser,Torsten Schaub,Benjamin Kaufmann
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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, aimin ... Full description
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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
More Information
| Author | Roland Kaminski, Martin Gebser, Torsten Schaub, Benjamin Kaufmann |
|---|---|
| Publisher | Springer Nature Switzerland |
| Series | Synthesis Lectures on Artificial Intelligence and Machine Learning |
| Release year | 2012 |
| Cover type | Softcover |
| EAN | 9783031004339 |