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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 around geometry, making the fact that our system is made up of discrete individuals implicit. Geometry allows us to specify requirements in terms of the behavior of the space occupied by the aggregate rather than the behavior of individuals, thereby decreasing complexity. So we describe the behavior of space explicitly, abstracting away the discrete nature of the components. As an example, we present the Amorphous Medium Language, which describes behavior in terms of homeostatic maintenance of constraints on nested regions of space.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/30516
Date18 January 2005
CreatorsBeal, Jacob, Sussman, Gerald
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format17 p., 42144634 bytes, 6024067 bytes, application/postscript, application/pdf
RelationMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory

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