Intelligent and Evolutionary Systems

The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings

  • George Leu
  • Hemant Kumar Singh
  • Saber Elsayed

Part of the Proceedings in Adaptation, Learning and Optimization book series (PALO, volume 8)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Caixia Li, Sreenatha G. Anavatti, Tapabrata Ray, Hyungbo Shim
    Pages 17-30
  3. Yuliya Betkher, Nuno Nabais, Vitor Santos
    Pages 31-43
  4. Huynh Thi Thanh Binh, Vo Khanh Trung, Ngo Hong Son, Eryk Dutkiewicz, Diep N. Nguyen
    Pages 45-59
  5. Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt
    Pages 61-74
  6. Ripon K. Chakrabortty, Ruhul A. Sarker, Daryl L. Essam
    Pages 75-86
  7. Saya Fujino, Taku Hasegawa, Miki Ueno, Naoki Mori, Keinosuke Matsumoto
    Pages 103-116
  8. Kiyohito Fukuda, Saya Fujino, Naoki Mori, Keinosuke Matsumoto
    Pages 117-132
  9. Ademir C. Gabardo, Regina Berretta, Natalie J. de Vries, Pablo Moscato
    Pages 133-148
  10. Taku Hasegawa, Yuta Araki, Naoki Mori, Keinosuke Matsumoto
    Pages 149-164
  11. Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui
    Pages 165-181
  12. Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
    Pages 195-210
  13. Masao Kubo, Hiroshi Sato, Akihiro Yamaguchi, Yuji Aruka
    Pages 211-221
  14. Yuyu Liang, Mengjie Zhang, Will N. Browne
    Pages 237-250
  15. Takahiro Majima, Keiki Takadma, Daisuke Watanabe, Mitujiro Katuhara
    Pages 263-275

About these proceedings

Introduction

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 place intelligent 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.

Keywords

Intelligent Systems Evolutionary Systems IES 2016 IES Asia Pacific Symposium of Intelligent and Evolutionary Systems Nature Inspired Computational Systems

Editors and affiliations

  • George Leu
    • 1
  • Hemant Kumar Singh
    • 2
  • Saber Elsayed
    • 3
  1. 1.School of Engineering and Information Technology, Australian Defence Force AcademyThe University of New South WalesCanberra, Australian Capital TerritoryAustralia
  2. 2.School of Engineering and Information Technology, Australian Defence Force AcademyThe University of New South WalesCanberra, Australian Capital TerritoryAustralia
  3. 3.School of Engineering and Information Technology, Australian Defence Force AcademyThe University of New South WalesCanberra, Australian Capital TerritoryAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49049-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-49048-9
  • Online ISBN 978-3-319-49049-6
  • Series Print ISSN 2363-6084
  • Series Online ISSN 2363-6092
  • About this book