@inproceedings{1241,
  author = {Radhika Nagpal},
  title = {Programmable Self-Assembly Using Biologically-Inspired Multiagent Control},
  abstract = {<p>This paper presents a programming language that specifies a robust process for shape formation on a sheet of identicallyprogrammed agents, by combining local organization primitives from epithelial cell morphogenesis and Drosophila cell differentiation with combination rules from geometry. This work represents a significantly different approach to the design of self-organizing systems: the desired global shape is specified using an abstract geometry-based language, and the agent program is directly compiled from the global specification. The resulting self-assembly process is extremely reliable in the face of random agent distributions, random agent death and varying agent numbers, without relying on global coordinates or centralized control.</p>},
  year = {2002},
  journal = {Proceedings of the 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)},
  language = {eng},
}