Adaptive Agents and Multi-Agent Systems II

Adaptation and Multi-Agent Learning

  • Daniel Kudenko
  • Dimitar Kazakov
  • Eduardo Alonso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3394)

Table of contents

  1. Front Matter
  2. Avishalom Shalit, Tom Erez, Anna Deters, Uri Hershberg, Eran Shir, Sorin Solomon
    Pages 24-40
  3. Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yolande Berbers
    Pages 88-105
  4. Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens
    Pages 106-118
  5. Dimitar Kazakov, Matthew Sweet
    Pages 132-146
  6. Jarred McGinnis, David Robertson
    Pages 167-184
  7. John Pisokas, Ulrich Nehmzow
    Pages 216-229
  8. Takamichi Sakai, Kenji Terada, Tadashi Araragi
    Pages 230-244
  9. Malcolm J. A. Strens
    Pages 245-259
  10. Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
    Pages 275-294
  11. Danny Weyns, Kurt Schelfthout, Tom Holvoet, Olivier Glorieux
    Pages 295-312

About these proceedings

Introduction

Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science.

This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.

Keywords

agents artificial intelligence autonomous agent evolution intelligence learning machine learning multi-agent system

Editors and affiliations

  • Daniel Kudenko
    • 1
  • Dimitar Kazakov
    • 2
  • Eduardo Alonso
    • 3
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK
  2. 2.Artificial Intelligence Group, Department of Computer ScienceUniversity of York, HeslingtonYorkUK
  3. 3.Department of ComputingCity UniversityLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/b106974
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-25260-3
  • Online ISBN 978-3-540-32274-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book