Interesting. I haven't seen much in this space since Lee Spector's "push" more than 20 years ago (http://faculty.hampshire.edu/lspector/push.html). I did see a mention of Push in the FAQ but it would be very interesting to compare this in detail. If I get it correctly Zyme programs are evolved on the bytecode level whereas Push's stack architecture is designed to be evolvable directly at the syntactic level? A head-to-head comparison / benchmark would be super interesting.
Thanks! Since the language is still in its early stages of being able to evolve programs, I don't have many examples to share yet. I didn’t realize when I began but developing the language itself was just the beginning - I hadn't anticipated how much work would still be needed on tuning, development tools, and implementing the genetic programming framework before getting concrete results.
15 or so years ago now - before I worked professionally really - I worked with Common Lisp to create a little toy tool to build, essentially, ASTs and evolve them to achieve a given fitness function. It was a heavily studied topic in the 1995-2005 timeframe at my alma mater. I just uploaded it ( https://github.com/pnathan/z-system ) as an amusing bit.
I'd be curious if the OP has looked at the literature on evolutionary programs (not evo algos, but programs).
"While I've observed bloat in Zyme, I don’t think this is driving the increase in mutation resistance and survival rate"
This is evident in the human genome.
Completely unrelated (and apologies to the OP), Zyme is also a name of a winery near Verona in Italy that makes really unusual, complex and very tasty reds. Beautiful facilities as well. If you are ever in the region, give it a visit - https://www.zyme.it/en/
Sadly not. When I was developing Zyme, I was thinking a lot about the molecular components of a cell and how one might translate them into a virtual machine. I was particularly inspired by enZYMEs.
You're right - a disassembler would be incredibly valuable; and while I haven’t gotten around to implementing one yet, it’s definitely on my radar. But even the idea of even having an assembler is exciting because it suggests the output programs could be interpretable, enabling us to identify the underlying algorithms that (hopefully) emerge through evolution.
null08|1 year ago
conartist6|1 year ago
haxiomic|1 year ago
Is there a repository of examples or experiments built with Zyme? Curious to see what has been explored so far
I think it could be fun to focus on visual experiments; shader-like programs as a way to easily explore different outputs
almusdives|1 year ago
pnathan|1 year ago
I'd be curious if the OP has looked at the literature on evolutionary programs (not evo algos, but programs).
abcd_f|1 year ago
I spent some time at your Uni in the early 90s. From what I remember there wasn't a whiff of Lisp on the curriculum.
robthebrew|1 year ago
UncleOxidant|1 year ago
huhtenberg|1 year ago
shortrounddev2|1 year ago
almusdives|1 year ago
tpoacher|1 year ago
unknown|1 year ago
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CodesInChaos|1 year ago
almusdives|1 year ago
airstrike|1 year ago
Cue the replicators.
unknown|1 year ago
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xiaodai|1 year ago
shahdash|1 year ago
Vaslo|1 year ago