Artificial Intelligence An International Perspective

An International Perspective

  • Max Bramer

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5640)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5640)

Table of contents

  1. Front Matter
  2. Houda Benbrahim, Max Bramer
    Pages 11-38
  3. Helder Coelho
    Pages 39-52
  4. Lori Malatesta, Kostas Karpouzis, Amaryllis Raouzaiou
    Pages 53-70
  5. Daniel E. O’Leary
    Pages 133-156
  6. Andrea Omicini, Michele Piunti, Alessandro Ricci, Mirko Viroli
    Pages 157-173
  7. Andrea Roli, Michela Milano
    Pages 174-192
  8. Silvia Schiaffino, Analía Amandi
    Pages 193-216
  9. Nenad Stefanovic, Dusan Stefanovic
    Pages 217-245
  10. Back Matter

About this book

Introduction

Artificial Intelligence (AI) is a rapidly growing inter-disciplinary field with a long and distinguished history that involves many countries and considerably pre-dates the development of computers. It can be traced back at least as far as Ancient Greece and has evolved over time to become a major subfield of computer science in general.

This state-of-the-art survey not only serves as a "position paper" on the field from the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, but also presents overviews of current work in different countries.

The chapters describe important relatively new or emerging areas of work in which the authors are personally involved, including text and hypertext categorization; autonomous systems; affective intelligence; AI in electronic healthcare systems; artifact-mediated society and social intelligence design; multilingual knowledge management; agents, intelligence and tools; intelligent user profiling; and supply chain business intelligence. They provide an interesting international perspective on where this significant field is going at the end of the first decade of the twenty-first century.

Keywords

Business Intelligence Turing affective computing agents algorithmic learning artificial intelligence autonomous system autonomous systems bayesian networks classifier systems clustering complex systems computational intelligence data mining knowledge

Editors and affiliations

  • Max Bramer
    • 1
  1. 1.School of Computing, Lion TerraceUniversity of PortsmouthPortsmouth, HantsUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03226-4
  • Copyright Information IFIP International Federation for Information Processing 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03225-7
  • Online ISBN 978-3-642-03226-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book