Uhm... can you pleez esplain (for us dummies)? I don't get the progression
or how the rules are used and what they result in?

On Sun, Jan 18, 2015 at 3:31 PM, Matthew Taylor <[email protected]> wrote:

> If anyone wants to play around with it, I've created a python project
> that can create all elementary cellular automaton easily.
>
> https://github.com/rhyolight/automatatron
>
> It's truly amazing to me that only about 80 lines of python code can
> create the whole library of ECAs. It's a testament to the idea that a
> very simple ruleset can create extraordinarily complex behavior.
>
> You can currently use a handler function to get iteration output rows,
> but I'm going to have to add the ability to stream a subset of columns
> from a running automata so specific columns can be pushed into NuPIC
> instead of the entire output (as soon as I find time).
>
> ---------
> Matt Taylor
> OS Community Flag-Bearer
> Numenta
>
>
> On Sun, Jan 18, 2015 at 2:18 AM, Fergal Byrne
> <[email protected]> wrote:
> > Hi Matthew,
> >
> > This would be a great demo (Wolfram's CA stuff appeals to most of us
> nerds).
> > I predict that if you feed a fixed set of bits into NuPIC, the TM will
> learn
> > the rule you've picked and will be able to predict the next pattern for
> all
> > but the edge bits (which will be partly random as far as it can tell).
> I'd
> > also predict that a single-order TM (one cell per column) will be also
> able
> > to do this learning.
> >
> > These two predictions come directly from the CLA theory (Subutai can
> verify
> > this), so it could be a good integration test for new implementations
> > (assuming NuPIC matches my predictions, of course!).
> >
> >
> > Regards,
> >
> > Fergal Byrne
> >
> > On Sat, Jan 17, 2015 at 10:23 PM, Jeff Fohl <[email protected]> wrote:
> >>
> >> I used to be a bit of a cellular automata nerd. I would be interested in
> >> seeing what you discover. You could also possibly just feed in the
> values
> >> for the center column of rule 30 - though that has been shown to be
> highly
> >> random, so I am not sure what the utility of it would be?
> >>
> >> - Jeff
> >>
> >> On Sat, Jan 17, 2015 at 1:59 PM, Matthew Taylor <[email protected]>
> wrote:
> >>>
> >>> I've always been fascinated by elementary cellular automata [1]. Some
> >>> rules produce interesting pseudo-random patterns with repeating
> >>> features. I think it would be interesting to see if NuPIC can decipher
> >>> these features from the randomly generated output of the automaton and
> >>> predict the continuation of partially-developed features. I also
> >>> wonder what the anomaly scores would say after NuPIC has seen several
> >>> thousand rows of data.
> >>>
> >>> I've put together a *very* simple program [2] to generate the output
> >>> of Rule 30 [3], but I did it in JavaScript out of habit. I really need
> >>> it implemented in Python to get decent integration with NuPIC.
> >>>
> >>> To feed cellular automaton data into NuPIC, I assume I'll need to
> >>> choose some number of adjacent columns within the automatons' output
> >>> (maybe 10 fields?). Each field would be simply binary, and I've got
> >>> some code in place now that can extract the columns and print them to
> >>> the console [4].
> >>>
> >>> Is anyone else interested in this crackpot idea? I have no idea what
> >>> any applications might be, I'm just fiddling around. Let me know if
> >>> you're interested and we can discuss.
> >>>
> >>> [1] http://mathworld.wolfram.com/ElementaryCellularAutomaton.html
> >>> [2] https://github.com/rhyolight/cellular-automata-engine
> >>> [3] http://en.wikipedia.org/wiki/Rule_30
> >>> [4] http://youtu.be/TT2-aXrmJ6k
> >>>
> >>> Regards,
> >>> ---------
> >>> Matt Taylor
> >>> OS Community Flag-Bearer
> >>> Numenta
> >>>
> >>
> >
> >
> >
> > --
> >
> > Fergal Byrne, Brenter IT
> >
> > http://inbits.com - Better Living through Thoughtful Technology
> > http://ie.linkedin.com/in/fergbyrne/ - https://github.com/fergalbyrne
> >
> > Founder of Clortex: HTM in Clojure -
> > https://github.com/nupic-community/clortex
> >
> > Author, Real Machine Intelligence with Clortex and NuPIC
> > Read for free or buy the book at https://leanpub.com/realsmartmachines
> >
> > Speaking on Clortex and HTM/CLA at euroClojure Krakow, June 2014:
> > http://euroclojure.com/2014/
> > and at LambdaJam Chicago, July 2014: http://www.lambdajam.com
> >
> > e:[email protected] t:+353 83 4214179
> > Join the quest for Machine Intelligence at http://numenta.org
> > Formerly of Adnet [email protected] http://www.adnet.ie
>
>


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