New Challenges in Applied Intelligence Technologies

  • Editors
  • Ngoc Thanh Nguyen
  • Radoslaw Katarzyniak

Part of the Studies in Computational Intelligence book series (SCI, volume 134)

Table of contents

  1. Front Matter
  2. Agent and Multiagent Systems

  3. Personal Assistants and Recommender Systems

    1. Front Matter
      Pages 65-65
    2. Mikito Kobayashi, Fumiaki Minami, Takayuki Ito, Satoshi Tojo
      Pages 77-86
    3. Fumiaki Minami, Mikito Kobayashi, Takayuki Ito
      Pages 87-96
    4. Costin Bădică, Elvira Popescu, Grzegorz Frackowiak, Maria Ganzha, Marcin Paprzycki, Michal Szymczak et al.
      Pages 111-120
  4. Knowledge Modelling and Processing

    1. Front Matter
      Pages 121-121
    2. Agustina Buccella, Domenico Gendarmi, Filippo Lanubile, Giovanni Semeraro, Alejandra Cechich, Attilio Colagrossi
      Pages 135-144
    3. Ewa Madalińska-Bugaj, Linh Anh Nguyen
      Pages 145-154
    4. Hafiz Rizwan Iqbal, Mian Muhammad Awais, Shahid Masud, Shafay Shamail
      Pages 155-162
    5. Sérgio M. Dias, Bruno M. Nogueira, Luis E. Zárate
      Pages 163-172

About this book

Introduction

The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic algorithms, fuzzy and multi-valued logics, rough sets, agent-oriented computation, often integrated into complex hybrid solutions. Applied intelligence technologies are used to build machines that can act and think like living systems, solve problems in an autonomous way, develop rich private knowledge bases and produce results not foreseen and programmed in a direct way by designers. This book includes 37 chapters which discuss examples of applications of intelligence technologies to five fields, reflecting main streams of practical and scientific interest of computer related community: agent and multi-agent systems; personal assistants and recom mender systems; knowledge modeling and processing; optimization and combinatorial problems; computer and telecommunication systems.

Keywords

algorithm algorithms behavior communication data mining fuzzy genetic algorithms intelligence knowledge base modeling multi-agent system multi-agent systems neural networks optimization recommender system

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79355-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-79354-0
  • Online ISBN 978-3-540-79355-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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