Page 205 - Socially Intelligent Agents Creating Relationships with Computers and Robots
P. 205
188 Socially Intelligent Agents
4. Summary
Socially situated planning provides one mechanism for improving the social
awareness of agents. Obviously this work is in 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 defining social reasoning solely at the 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 state-
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. Artificial 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.Pew and A.S. Mavor, editors. Modeling Human and Organizational Behavior.
National Academy Press, Washington D.C., 1998.
[6] J. Rickel and L. Johnson. Animated agents for procedural training in virtual reality: Per-
ception, cognition, and motor control. Applied Artificial Intelligence, 13:343–382, 1999.