Opportunities and Challenges for Next-Generation Applied Intelligence

  • Been-Chian Chien
  • Tzung-Pei Hong

Part of the Studies in Computational Intelligence book series (SCI, volume 214)

Table of contents

  1. Front Matter
  2. Bio-informatics

    1. Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsueh-Wei Chang
      Pages 13-18
    2. Enrique Calot, Hernan Merlino, Claudio Rancan, Ramon Garcia-Martinez
      Pages 19-24
  3. Computer Vision

    1. Chen-Sen Ouyang, Ming-Yi Ju, Han-Lin Yang
      Pages 25-30
    2. Hsu Wei-Chih, Yu Tsan-Ying, Chen Kuan-Liang
      Pages 31-37
    3. Tao Gao, Zheng-guang Liu, Jun Zhang
      Pages 39-44
    4. Xiangdong Wang, Xinhui Li, Yuelian Qian, Ying Yang, Shouxun Lin
      Pages 45-51
  4. Data Mining and Knowledge Discovery

  5. Decision Support Systems

    1. I-Fei Chen, Chi-Jie Lu, Tian-Shyug Lee, Chung-Ta Lee
      Pages 99-104
    2. Shun Shiramatsu, Yuji Kubota, Kazunori Komatani, Tetsuya Ogata, Toru Takahashi, Hiroshi G. Okuno
      Pages 111-117
  6. Genetic Algorithms

    1. Yi Wang, Yun Chen, Kesheng Wang
      Pages 119-125

About this book

Introduction

The term "Artificial Intelligence" has been used since 1956 and has become a very popular research field. AI Techniques have been used in almost any domain. The term "Applied Intelligence" was created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, biomedicine, bioinformatics, cyberspace, man-machine interactions, etc.

The International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE) seeks for quality papers on applied intelligence that incorporate all kinds of real life problems. The objective of the conference was to bring together scientists, engineers and practitioners, who work on designing or developing applications that use intelligent techniques or work on intelligent techniques and apply them to application domains. The book is comprises of 12 parts including 52 chapters providing an up-to-date and state-of-the research on the applications of artificial Intelligence techniques.

Keywords

algorithms artificial intelligence automation bioinformatics computer vision data mining genetic algorithms intelligence intelligent systems knowledge discovery learning machine learning multi-agent system robot robotics

Editors and affiliations

  • Been-Chian Chien
    • 1
  • Tzung-Pei Hong
    • 2
  1. 1.Department of Computer Science and Information on EngineeringNational University of TainanTainan CityTaiwan
  2. 2.Department of Computer Science and Information EngineeringNational University of Kaohsiung, Nanzih DistrictKaohsiungTaiwan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-92814-0
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-92813-3
  • Online ISBN 978-3-540-92814-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
Industry Sectors
Automotive
Chemical Manufacturing
Biotechnology
Electronics
Telecommunications
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences