Socially Intelligent Agents

Creating Relationships with Computers and Robots

  • Kerstin Dautenhahn
  • Alan Bond
  • Lola Cañamero
  • Bruce Edmonds

Table of contents

  1. Front Matter
    Pages i-xv
  2. Kerstin Dautenhahn, Alan Bond, Lola Cañamero, Bruce Edmonds
    Pages 1-20
  3. Per Persson, Jarmo Laaksolahti, Peter Löonnqvist
    Pages 21-28
  4. Alan H. Bond
    Pages 29-36
  5. Bruce Edmonds
    Pages 37-44
  6. Katherine Isbister
    Pages 45-52
  7. Sebastiano Pizzutilo, Berardina De Carolis, Fiorella de Rosis
    Pages 61-68
  8. Lola D. Cañamero
    Pages 69-76
  9. Juliette Rouchier
    Pages 85-92
  10. Hidekazu Kubota, Toyoaki Nishida
    Pages 93-100
  11. David V. Pynadath, Milind Tambe
    Pages 101-108
  12. Kerstin Dautenhahn, Iain Werry, John Rae, Paul Dickerson, Penny Stribling, Bernard Ogden
    Pages 117-124
  13. François Michaud, Catherine Théberge-Turmel
    Pages 125-132
  14. Katharine Blocher, Rosalind W. Picard
    Pages 133-140
  15. Stacy C. Marsella
    Pages 141-148
  16. Cynthia Breazeal
    Pages 149-156
  17. Hideki Kozima
    Pages 157-164
  18. Aude Billard
    Pages 165-172
  19. Mark Scheeff, John Pinto, Kris Rahardja, Scott Snibbe, Robert Tow
    Pages 173-180
  20. Jonathan Gratch
    Pages 181-188
  21. Bridget Cooper, Paul Brna
    Pages 189-196
  22. Isabel Machado, Ana Paiva
    Pages 197-204
  23. Jaime Montemayor, Allison Druin, James Hendler
    Pages 205-212
  24. Cristina Conati, Maria Klawe
    Pages 213-220
  25. Michael Mateas, Andrew Stern
    Pages 221-228
  26. Peyman Faratin
    Pages 243-250
  27. Juan A. RodrÍguez-Aguilar, Carles Sierra
    Pages 259-266
  28. Back Matter
    Pages 275-281

About this book


Socially situated planning provides one mechanism for improving the social awareness ofagents. Obviously this work isin the preliminary stages and many of the limitation and the relationship to other work could not be addressed in such a short chapter. The chief limitation, of course, is the strong commitment to de?ning social reasoning solely atthe meta-level, which restricts the subtlety of social behavior. Nonetheless, our experience in some real-world military simulation applications suggest that the approach, even in its preliminary state, is adequate to model some social interactions, and certainly extends the sta- of-the art found in traditional training simulation systems. Acknowledgments This research was funded by the Army Research Institute under contract TAPC-ARI-BR References [1] J. Gratch. Emile: Marshalling passions in training and education. In Proceedings of the Fourth International Conference on Autonomous Agents, pages 325–332, New York, 2000. ACM Press. [2] J. Gratch and R. Hill. Continous planning and collaboration for command and control in joint synthetic battlespaces. In Proceedings of the 8th Conference on Computer Generated Forces and Behavioral Representation, Orlando, FL, 1999. [3] B. Grosz and S. Kraus. Collaborative plans for complex group action. Arti?cial Intelli gence, 86(2):269–357, 1996. [4] A. Ortony, G. L. Clore, and A. Collins. The Cognitive Structure of Emotions. Cambridge University Press, 1988. [5] R.W.PewandA.S.Mavor,editors. Modeling Human and Organizational Behavior. National Academy Press, Washington D.C., 1998.


Artificial intelligence Multi-agent system Racter affective computing anthropomorph autonom autonomous agent cognition emotion emotion recognition human-computer interaction (HCI) mobile robot modeling robotics therapy

Editors and affiliations

  • Kerstin Dautenhahn
    • 1
  • Alan Bond
    • 2
  • Lola Cañamero
    • 1
  • Bruce Edmonds
    • 3
  1. 1.University of HertfordshireUK
  2. 2.California Institute of TechnologyUSA
  3. 3.Manchester Metropolitan UniversityManchesterUK

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-7057-0
  • Online ISBN 978-0-306-47373-9
  • Series Print ISSN 1568-2617
  • Buy this book on publisher's site