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Biologically-Inspired Robust Spatial Programming

dc.date.accessioned2005-12-22T02:20:32Z
dc.date.accessioned2018-11-24T10:24:22Z
dc.date.available2005-12-22T02:20:32Z
dc.date.available2018-11-24T10:24:22Z
dc.date.issued2005-01-18
dc.identifier.urihttp://hdl.handle.net/1721.1/30516
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/30516
dc.description.abstractInspired 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.
dc.format.extent17 p.
dc.format.extent42144634 bytes
dc.format.extent6024067 bytes
dc.language.isoen_US
dc.subjectAI
dc.subjectamorphous robust biological spatial sensor networks language programming medium
dc.titleBiologically-Inspired Robust Spatial Programming


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