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Socially Situated Planning

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Socially Intelligent Agents

Abstract

This chapter describes techniques to incorporate richer models of social behavior into deliberative planning agents, providing them the capability to obey organizational constraints and engage in self-interested and collaborative behavior in the context of virtual training environments.

USC Institute for Creative Technologies

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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.

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  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.

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  3. B. Grosz and S. Kraus. Collaborative plans for complex group action. Artificial Intelligence, 86(2):269–357, 1996.

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  6. J. Rickel and L. Johnson. Animated agents for procedural training in virtual reality: Perception, cognition, and motor control. Applied Artificial Intelligence, 13:343–382, 1999.

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Authors
  1. Jonathan Gratch
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Editors and Affiliations

  1. University of Hertfordshire, Hertfordshire, UK

    Kerstin Dautenhahn  & Lola Cañamero  & 

  2. California Institute of Technology, California, USA

    Alan Bond

  3. Manchester Metropolitan University, Manchester, UK

    Bruce Edmonds

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© 2002 Kluwer Academic Publishers

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Gratch, J. (2002). Socially Situated Planning. In: Dautenhahn, K., Bond, A., Cañamero, L., Edmonds, B. (eds) Socially Intelligent Agents. Multiagent Systems, Artificial Societies, and Simulated Organizations, vol 3. Springer, Boston, MA. https://doi.org/10.1007/0-306-47373-9_22

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  • DOI: https://doi.org/10.1007/0-306-47373-9_22

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7057-0

  • Online ISBN: 978-0-306-47373-9

  • eBook Packages: Springer Book Archive

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