Digital Darwin

An anonymous reader writes "Using genetic algorithms to breed strings of computer code graphically, this week's Nature magazine describes results from Caltech and Michigan State. Their program is Avida. While they mainly mimic mutation, not genetic cross-over [or inheritance (thus wiping away much memory of initial conditions)], their simulations show how a short-term backward step in survival strategies can generate innovative advances. It is not unlike running a maze which necessarily involves testing alot of dead-ends, and thus shares the graphical look of Conway's classic Game of Life." Here's a National Geographic story about this as well, or see their press release.

Comments

forget the anti-evolution argument

[gol]

having just successfully completed an undergraduate project in which i have used genetic algorithms to achieve full adaptive image compression, i have learnt rather a lot about these curious beasts that is seldom mentioned in modern text. the use of genetic algorithms in a computer does in no way prove or disprove any evloution/anti-evolution argument. these algorithms do not magically evolve new creatures, or new solutions. they just search the solution space in a highly parallel manner, and they surprise people because they come up with solutions they did not consider. the solution is there waiting in solution space - but you can't find it because your brain is not capapble, you don't spend enough time on it... whatever. this is not new, its not intelligent, its not the creation of a new species. think of genetic algorithms as exploiting adaptive characteristics, simple as that, i.e. skin colour changing due to intensity of sunlight. of course... there are fields of research that involve using one class of genetic algorithms to derive the schemata (structure) of another class, but the research has come up with nothing to date.