Nobody knows until someone does the experiment. It is certainly
possible that something interesting will happen once enough agents are
simulated together. Right now it is a challenging task just to scale
the simulations up.

Cheers

On Mon, Oct 09, 2006 at 11:43:27AM +0200, Jochen Fromm wrote:
> 
> Besides the technical issues, what is the advantage of 
> parallel agent-based simulations ? Can you achieve more 
> with a billion agents than with a few thousand, or is it
> just an attractive-sounding possibility ? An ant colony
> with a billion ants will not be significantly different 
> or more intelligent than a colony with 10.000 ants. A swarm 
> with 10.000 birds will look similar to a swarm with 100 
> birds, only a bit more fine-grained.
> 
> Is a simulation with millions or billions of agents somehow 
> qualitative different from a simulation with only a few 
> thousand agents ? Certainly not if they are all alike, if 
> they all do the same or if they all "live" in the same 
> environment. I looks very difficult to construct a billion
> different agents or to assign different tasks to billions 
> of agents.
> 
> In evolutionary systems, AI, and ALife, scale certainly
> matters: a typical human brain has billions of neurons,
> a chromosome contains roughly a GByte program with a
> billion bytes, and evolution on Earth took from the
> earliest forms to the computer nerd today a few billion 
> years. If we expect something interesting in an evolutionary
> ALife system, do we have to let it run for some billion years 
> using a billion agents in order to get a "genetic code" 
> with a billion bytes ?
> 
> I bet the first true AI will have more than a billion bytes 
> of code, too (already a few films take easily a few GByte of
> data). Somehow the lower bound for interesting behavior seems 
> to be a billion interacting units - why is this so ?
> 
> -J.
> 
> 
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