Is this essentially agent based modeling?

Not exactly the same, but i think this paper touches on the essence of
the method:

"
Their internal states are governed by finite state machines, but their
external relationships are governed by a simulated physics that
includes Brownian motion, viscosity, and springlike attractive and
repulsive forces.
"

http://www.mitpressjournals.org/doi/abs/10.1162/106454603321489509


On Fri, Dec 9, 2011 at 9:36 AM, Timmy Wilson <[email protected]> wrote:
> I first ran into energy-based learning when studying neural nets.
>
> Recently i found a few promising papers/examples that focus on energy
> based graph embedding.
>
> I'm curious what the community thinks of this brand of learning?
>
> ------------
>
> The guys @ Gephi published a nice overview of force/energy based embedding:
>
> webatlas.fr/tempshare/ForceAtlas2_Paper.pdf
>
> They have an implementation, and 2 cool video's on their site:
>
> https://gephi.org/2011/forceatlas2-the-new-version-of-our-home-brew-layout/
>
> ------------
>
> Andreas Noack has a simple, java implementation here:
>
> http://code.google.com/p/linloglayout/
>
> ------------
>
> This paper, from Inria, looks at distributed graph embedding:
>
> hal.inria.fr/inria-00495250/PDF/RR-7327.pdf
>
> And it looks like Gephi has a multithread implementation:
>
> https://code.launchpad.net/~mathieu-jacomy/gephi/forceatlas2-multithread

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