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

Format:

Book

Author/Creator:

Gebser, Martin., Author.

Kaminski, Roland., Author.

Kaufmann, Benjamin., Author.

Schaub, Torsten., Author.

Series:

Synthesis Lectures on Artificial Intelligence and Machine Learning, 1939-4616

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Neural networks (Computer science).

Artificial Intelligence.

Machine Learning.

Mathematical Models of Cognitive Processes and Neural Networks.

Local Subjects:

Artificial Intelligence.

Machine Learning.

Mathematical Models of Cognitive Processes and Neural Networks.

Physical Description:

1 online resource (XXV, 212 p.)

Edition:

1st ed. 2013.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2013.

System Details:

Mode of access: World Wide Web.

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. Table of Contents: List of Figures / List of Tables / Motivation / Introduction / Basic modeling / Grounding / Characterizations / Solving / Systems / Advanced modeling / Conclusions.

Contents:

List of Figures

List of Tables

Motivation

Introduction

Basic modeling

Grounding

Characterizations

Solving

Systems

Advanced modeling

Conclusions.

Notes:

Includes bibliographical references and index.

ISBN:

9783031015618

3031015614