I’m starting to mull ways to use generic algorithms on a decentralised network. Thoughts?
A couple of intriguing threads:
executable genotype of immutable function() (in JSON, RDF?) = automata
parallelism via client with subpopulation (eg web app). Social/viral app?
This post is just to see if anyone else is interested in the area and have ideas or know of relevant work we can gather together.
One guy (also a world YoYo champion) has created a couple of web based demos which are great to watch, and you can tweak them a bit too. The first attempts to evolve a ‘walker’ (two dimensional humanoid), but I find the second even more interesting to watch, racing cars against each other to evolve a better car! These are only two of the projects I found, posting here because they are fun :
I just found a freeware program I wrote back in the 80’s on the internet archive and you can run it in the DOS emulator! It’s called the Genetic Algorithm Workbench and has a graphical (WIMP) UI (see/run/download it here!). I used it to help market services to apply GAs to engineering problems and wrote it, including the whole WIMP/multitasking bit to learn C++ (anyone remember Zortech C++?). We got some work with oil companies using and customising various tools for their applications. I haven’t played with GAs since then but they never left my interest. My original interest was looking for ways to evolve code rather than write it, so I’m still curious about that - hence the bit in the above bullets about functions/automata.
Please reply if you are interested and fancy investigating GAs and thinking about ways to implement them on the network and post anything you think might be helpful. For now I’m thinking only of client side apps that could be implemented with the existing APIs.