Biological Models of Computing Despite the messiness inherent in natural systems, evolution has produced "machines of extreme perfection," to use Darwin's felicitous phrase. As our technological systems become more complex and planning for all cases becomes impossible, what can we learn from the biological world? In particular, what can we learn from the design of both organisms and systems that can adapt to a wide and unpredictable range of signals without collapsing?
The Biological Models of Computing track investigates work in any sort of evolutionary computing (genetic algorithms, neural networks, cellular automata); systems that self-tune in response to their environment (immune system models for security; swarm intelligence); and systems that use biological materials as computational tools (DNA computing).
Title: Organizational Sensitivity in Reconfigurable Hardware
Duration: 45 minutes
Audience Level: General
Audience Type: Biologists, Computer Scientists, Experimentalists
Abstract: (250 words)
Brief Description: (50 words)
Comments: Rael Dornfest (O'Reilly) has seen the system and suggested I speak in the Biological Models of Computing track.
|Last edited December 1, 2002
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