[FoRK] [fonc] Deployment by virus
sdw at lig.net
Thu Jul 19 09:16:36 PDT 2012
Using genetic programming (GP) and spin offs like meta-optimizing semantic evolutionary search (MOSES), you can grow and
select for useful code. Programming such a system mainly consists of putting constraints and fitness measures in place and
providing the system with appropriate building block operations. Since the building blocks could be used to solve a wide range
of problems, it is a potentially powerful system for dynamically solving many problems. We'll need a lot more progress, and even
more CPU/memory/storage/bandwidth, to make this work competitively, but it looks feasible at some point soon.
On Thu Jul 19 01:43:39 2012, Eugen Leitl wrote:
> ----- Forwarded message from John Nilsson <john at milsson.nu> -----
> From: John Nilsson <john at milsson.nu>
> Date: Thu, 19 Jul 2012 02:22:50 +0200
> To: Fundamentals of New Computing <fonc at vpri.org>
> Subject: [fonc] Deployment by virus
> Reply-To: Fundamentals of New Computing <fonc at vpri.org>
> I just had a weird though, maybe there is some precedence?
> If we were to do software development in a more organic manner,
> accepting the nature of complex systems as being... complex. In such a
> setting we might have no blue-print (static source code) to usable for
> instantiating new live systems ex nihilo, or the option to take down
> existing systems to "deploy an upgrade". The code running the nodes
> can be the result of wild mutation or complex generative algorithms.
> A mode of development could be to work on prototypes in a lab, a clone
> or an isolated node from the production system. When the desired
> properties are created in the prototype they would then spread through
> the production system by means of a virus which would adapt the new
> properties to the running instances individually according to their
> unique configuration.
> Is it feasible? Would it provide new options? Any research done in
> this direction?
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