Guiding Self-Organization in Systems of Cooperative Mobile Agents - Advancing Artificial Intelligence Through Biological Process Applications - page 288

goal-directed problem solving while still retain-
ing their purely-reflective collective movement
behaviors. We believe that these results have
important implications for robotics and robotic
teams, a belief that is supported by recent work
involving manipulation and transportation of
objects by multiple physical robots (Chaimowicz,
2001, Sutton, 1998, Yamashita, 2003) and sup-
porting theoretical work (Kazadi, 2002).

Bonabeau, E., Dorigo, M., & Theraulz, G. (1999).
Swarm Intelligence: From natural to artificial
systems . Oxford University Press.

Braun, A., Musse, S. R., de Oliveira, L. P. L. &
Bodmann, B. E. J. (2003). Modeling individual
behaviors in crowd simulation. International
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Burton, J. L. & Franks, N. R. (1985). The forag-
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ACkNOWLEDGMENT

This work was supported by NSF Award IIS-
0325098.

Camazine, S., Deneubourg, J.L., Franks, N.,
Sneyd, J., Theraulaz, G., & Bonabeau, E. (2001).
Self-Organization in Biological Systems . Princ-
eton University Press.

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