Answer Set Solving in Practice / Synthesis Lectures on Artificial Intelligence and Machine Learning (PDF)
(Sprache: Englisch)
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...
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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, 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
Bibliographische Angaben
- Autoren: Martin Gebser , Roland Kaminski , Benjamin Kaufmann , Torsten Schaub
- 2022, 1. Auflage, 212 Seiten, Englisch
- Verlag: Springer Nature Switzerland
- ISBN-10: 3031015614
- ISBN-13: 9783031015618
- Erscheinungsdatum: 31.05.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 1.72 MB
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- Vorlesefunktion
Sprache:
Englisch
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