Intelligent and Evolutionary Systems: The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings

by George Leu, Hemant Kumar Singh, Saber Elsayed

Overview

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.

Product Details

ISBN-13:	9783319490489
Publisher:	Springer International Publishing
Publication date:	12/06/2016
Series:	Proceedings in Adaptation, Learning and Optimization , #8
Edition description:	1st ed. 2017
Pages:	510
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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