Welcome to the InfoSci Platform
Reference Hub4
Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems

Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems

Utku Köse, Ahmet Arslan
Copyright: © 2014 |Pages: 33
ISBN13: 9781466644502|ISBN10: 1466644508|EISBN13: 9781466644519
DOI: 10.4018/978-1-4666-4450-2.ch003
Cite Chapter Cite Chapter

MLA

Köse, Utku, and Ahmet Arslan. "Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems." Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications, edited by Pandian M. Vasant, IGI Global, 2014, pp. 69-101. https://doi.org/10.4018/978-1-4666-4450-2.ch003

APA

Köse, U. & Arslan, A. (2014). Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems. In P. Vasant (Ed.), Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications (pp. 69-101). IGI Global. https://doi.org/10.4018/978-1-4666-4450-2.ch003

Chicago

Köse, Utku, and Ahmet Arslan. "Chaotic Systems and Their Recent Implementations on Improving Intelligent Systems." In Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications, edited by Pandian M. Vasant, 69-101. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4450-2.ch003

Export Reference

Mendeley
Favorite

Abstract

Chaos Theory is a kind of a scientific approach/research effort which is based on examining behaviors of nonlinear dynamical systems which are highly sensitive to their initial conditions. Currently, there are many different scientific studies based on the Chaos Theory and the related solution approaches, methods, or techniques for problems of this theory. Additionally, the theory is used for improving the introduced studies of different fields in order to get more effective, efficient, and accurate results. At this point, this chapter aims to provide a review-based study introducing recent implementations of the Chaos Theory on improving intelligent systems, which can be examined in the context of the Artificial Intelligence field. In this sense, the main research way is directed into the works performed or introduced mostly in years between 2008 and 2013. By providing a review-based study, the readers are enabled to have ideas on Chaos Theory, Artificial Intelligence, and the related works that can be examined within intersection of both fields. At this point, the chapter aims to discuss not only recent works, but also express ideas regarding future directions within the related implementations of chaotic systems to improve intelligent systems. The chapter is generally organized as a reference guide for academics, researchers, and scientists tracking the literature of the related fields: Artificial Intelligence and the Chaos Theory.

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.