Tozier's GP book: "I suspect you’ve heard some things on the street; maybe the other computer scientists have been talking about their adventures, or telling jokes about it. I understand that you might be shy. No matter what you might hear, always remember that it’s perfectly normal and healthy. To be frank, it’s a nice simple starting point for a person of your age to start exploring their feelings about GP"

The guy using an ancient powerbook as his jam buddy.

alternative take on the genetic search technique designed to mimic the behaviours of improvising musicians rather than the success and failues of genotypes. Sounds interesting both as a technique and a model.

"As Narayan has eloquently argued many times, it no longer makes sense for most institutions to run their own HPC, if you take into account the true costs of power, AC, and hardware. The only reason it looks like HPCs work well is because of the way institutions play games with funny money (a.k.a. "overhead charges"), channeling it to HPC behind the scenes - often with much politicking involved. If, as a scientist, your compute is "free" or even heavily subsidized, you tend not to think much about it. But now that we have to scale those clusters 10s or 100s or 1000s of X, to deal with data 100s or 1e6s of times as big, institutions will no longer be able to afford to build their own clusters with funny money. And they'll have to charge scientists for the true computational cost of their work -- or scientists will have to use the cloud."

pyevolve does have a ricket tracker. it is here.

it's the page of that trendy work-out-your-laws-for-you package

bigger, enterprisier, buzzwordier python evolutionary library. seems pure GA as opp GP, but with tasty operators, visualisation, and parallelisation support

the only DVCS python GP library. pity it looks dead.

"Answer Factory: A system for pragmatic genetic programming projects"

include turing complete DSL, image processing and so on

highest linked-GP toolkit has unspecified link to groovy. Is that the adjective or the noun, i'd like to know? Anyway, it's dead since 2006, so this link is purely so that i can remember *not* to use it.

actually evolving rules in an agent based model. good times.

simple, good but unmaintained, VCS-less python genetic programming library. A pity; it looks like the lightest most pythonic one IMO.

open  source python genetic algorithm frameowrk

"Peach is a pure-python module, based on SciPy and NumPy to implement algorithms for computational intelligence and machine learning. Methods implemented include, but are not limited to, artificial neural networks, fuzzy logic, genetic algorithms, swarm intelligence and much more."

genetic algorithm frenzy

the explanatory gap of gene expression studies

"Dr. Judy Carman, senior scientist working in the field of epidemiology in Australia and awarded a government grant to study the safety of GM feed, has been subjected to a sustained campaign of vilification by individuals associated withthe biotech industry, with the clear intention of preventingher from carrying out the research. Political pressure is nowbeing brought to bear on her research by the current Agriculture and Food Minister of Western Australia.

Dr. Carman is not an isolated case. A long string of scientists beginning with Arpad Puszati, Susan Bardocz, Shiv Chopra, Ignacio Chapela, Irina Ermakova, and more has suffered the same attackswhen their research or laboratory findings are deemed unfavourable to thebiotech industry; they have also lost their grants or their jobs as a result."

a homeopathy of sizes

build your own complex adaptive problem solving agents, they reckon.

more of that troubling landscape idea that's been kicking around (phase-)space

genetic computing, what hath thou wrought?

fascinating and nifty software (netbeans editor for python anyone?) that nonetheless shakes your confidence by being badly packaged

chart listings for genetic music

oh look, it's a guy discovering the DNA of tables.

oh look, it's a guyfcreating the dna of robot snakes

wigwamjam take two - synth line breeder

spiralsynth based bassline evolver. could do with some meta evolution

many nice SC whizbang doohickeys - including a genetic algorithm synth builder.

by the marvellous yee-king "AudioServe is a system based on principles used in evolutionary and adaptive systems research that allows users to evolve interesting and novel sounds in real time."

yes, my time will come.

some kind of triumphalist transhumanist weirdness dressed up as a research project?

"Thus, humans are superorganisms whose metabolism represents an amalgamation of microbial and human attributes."

THESE guys are being forced to find a common language by necessity. my own disciplines look daggy by coparison. "The Gene Ontology (GO) project is a collaborative effort to address the need for consistent descriptions of gene products in different databas

ANATOMY OF A CRITTER Critters uses a synthesis of traditional, and experimental music theory along with some of grain-brains' own musical strategies. Critters also utilizes genetic algorithms, chaos theory, fractals, and noise generators (white, pink and

Bar-Yam, in the upcoming article, proves that the "selfish gene" approach is not valid in the general case. He demonstrates that the gene-centered view, expressed in mathematical form, is only an approximation of the dynamics actually at work. And this ap

evolutionary computing by the guy who made it up.