Interactive Collaborative Information Systems

  • Robert Babuška
  • Frans C. A. Groen
Part of the Studies in Computational Intelligence book series (SCI, volume 281)

Table of contents

  1. Front Matter
  2. Reinforcement Learning

    1. Front Matter
      Pages 1-1
    2. Lucian Buşoniu, Bart De Schutter, Robert Babuška
      Pages 3-44
    3. Marc Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens, Jaap van den Herik et al.
      Pages 45-63
    4. Harm van Seijen, Shimon Whiteson, Leon Kester
      Pages 65-84
  3. Collaborative Decision Making

    1. Front Matter
      Pages 85-85
    2. Jelmer Marinus van Ast, Robert Babuška, Bart De Schutter
      Pages 155-182
    3. Guido te Brake, Rick van der Kleij
      Pages 183-203
  4. Computer-Human Interaction Modeling

    1. Front Matter
      Pages 205-205
    2. Trung H. Bui, Job Zwiers, Mannes Poel, Anton Nijholt
      Pages 207-236
    3. Siska Fitrianie, Zhenke Yang, Dragoş Datcu, Alin G. Chiţu, Léon J. M. Rothkrantz
      Pages 237-272
    4. Louis Vuurpijl, Don Willems, Ralph Niels, Marcel van Gerven
      Pages 273-297
    5. Vanessa Evers, Henriette Cramer, Maarten van Someren, Bob Wielinga
      Pages 299-325
  5. Architectures for Distributed Agent-Actor Communities

    1. Front Matter
      Pages 355-355
    2. Martijn Neef, Bob van der Vecht
      Pages 357-373
    3. Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. Wielinga
      Pages 375-400

About this book

Introduction

The increasing complexity of our world demands new perspectives on the role of technology in human decision making. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and traffic management, where humans need to engage in close collaborations with artificial systems to observe and understand the situation and respond in a sensible way. The book Interactive Collaborative Information Systems addresses techniques that support humans in situations in which complex information handling is required and that facilitate distributed decision-making. The theme integrates research from information technology, artificial intelligence and human sciences to obtain a multidisciplinary foundation from which innovative actor-agent systems for critical environments can emerge. It emphasizes the importance of building actor-agent communities: close collaborations between human and artificial actors that highlight their complementary capabilities in situations where task distribution is flexible and adaptive. This book focuses on the employment of innovative agent technology, advanced machine learning techniques, and cognition-based interface technology for the use in collaborative decision support systems.

Keywords

Bayesian network agent technology algorithms artificial intelligence cognition complexity decision support system expert system information system intelligence learning machine learning modeling reinforcement learning uncertainty

Editors and affiliations

  • Robert Babuška
    • 1
  • Frans C. A. Groen
    • 2
  1. 1.Delft Center for Systems and ControlDelft University of TechnologyDelftThe Netherlands
  2. 2.Faculty of ScienceInformatics InstituteAmsterdamThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-11688-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-11687-2
  • Online ISBN 978-3-642-11688-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book