Leu / Singh / Elsayed Intelligent and Evolutionary Systems

The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings
1. Auflage 2017
ISBN: 978-3-319-49049-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 8, 510 Seiten, eBook

Reihe: Proceedings in Adaptation, Learning and Optimization

Over the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10 years ago, statistical machine intelligence was on the rise, heavily supported by the digital computing, and led to the unprecedented advances in and dependence on digital technology. However, the resultant intelligent systems remained designer-based endeavors and thus, were limited in their true learning and development abilities. Today, the challenge is to have in placeintelligent systems that can develop themselves on behalf of their creators, and gain abilities with no or limited supervision in the tasks they are meant to perform. Cognitive development systems, and the supporting cognitive computing are on the rise today, promising yet other significant achievements for the future of human kind.This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last two decades, offering to the reader a broad view over the field, while providing a solid foundation from which outstanding new ideas may emerge.

Zielgruppe

Research

Autoren/Hrsg.

Leu, George

Singh, Hemant Kumar

Elsayed, Saber

Inhaltsverzeichnis

From the Content,- An Evolutionary Optimization approach for Path Planning of ArrivalAircraft for Optimal Sequencing.- A Game-Theoretic Approach to the Analysis of Traffic Assignment.- Simulation of Darwin’s and Lamarck’s Theories of Evolution Using.