| Description |
1 online resource (xxv, 212 pages) : illustrations |
| Series |
Synthesis lectures on artificial intelligence and machine learning, 1939-4616 ; #19 |
|
Synthesis lectures on artificial intelligence and machine learning ; #19.
|
| Contents |
Motivation -- Introduction -- Basic modeling -- Grounding -- Characterizations -- Solving -- Systems -- Advanced modeling -- Conclusions |
| Summary |
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 |
| Analysis |
answer set programming |
|
declarative problem solving |
|
logic programming |
| Bibliography |
Includes bibliographical references (pages 183-205) and index |
| Notes |
Print version record |
| Subject |
Declarative programming.
|
|
Logic programming.
|
|
MATHEMATICS -- Algebra -- Elementary.
|
|
Declarative programming
|
|
Logic programming
|
| Form |
Electronic book
|
| Author |
Kaminski, Roland, author
|
|
Kaufmann, Benjamin, author
|
|
Schaub, Torsten, author
|
| ISBN |
9781608459728 |
|
1608459721 |
|
9781608459711 |
|
1608459713 |
|
9783031015618 |
|
3031015614 |
|
