Welcome to the InfoSci Platform
Reference Hub3
Indices1
Artificial Intelligence for Advanced Problem Solving Techniques

Artificial Intelligence for Advanced Problem Solving Techniques

Ioannis Vlahavas, Dimitris Vrakas
Copyright: © 2008 |Pages: 388
ISBN13: 9781599047058|ISBN10: 1599047055|EISBN13: 9781599047072|ISBN13 Softcover: 9781616926892
DOI: 10.4018/978-1-59904-705-8
Cite Book Cite Book

MLA

Vlahavas, Ioannis, and Dimitris Vrakas, editors. Artificial Intelligence for Advanced Problem Solving Techniques. IGI Global, 2008. https://doi.org/10.4018/978-1-59904-705-8

APA

Vlahavas, I. & Vrakas, D. (Eds.). (2008). Artificial Intelligence for Advanced Problem Solving Techniques. IGI Global. https://doi.org/10.4018/978-1-59904-705-8

Chicago

Vlahavas, Ioannis, and Dimitris Vrakas, eds. Artificial Intelligence for Advanced Problem Solving Techniques. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-705-8

Export Reference

Mendeley
Favorite Full-Book Download

One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution.

Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.

Table of Contents

Reset
Front Materials
PDFHTML
Title Page
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Copyright Page
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Preface
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Acknowledgment
This content has been removed at the discretion of the publisher and the editors.
Chapters
PDFHTML
Chapter 1
Automated Planning  (pages 18-18)
Automated Planning
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Constraint Satisfaction and Scheduling
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Chapter 3
Machine Learning  (pages 147-147)
Machine Learning
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Chapter 4
Optimization  (pages 233-233)
Optimization
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Chapter 5
Genetic Algorithms and Programming
This content has been removed at the discretion of the publisher and the editors.
Back Materials
PDFHTML
Compilation of References
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
About the Contributors
This content has been removed at the discretion of the publisher and the editors.
PDFHTML
Index
This content has been removed at the discretion of the publisher and the editors.
View All Books

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.