Biologically-Inspired Robust Spatial Programming
Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected in unknown, irregular, and time-varying ways. We organize our computations aro...
Main Authors: | , |
---|---|
Language: | en_US |
Published: |
2005
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/30516 |