Last two are part of genome and subject of evolution. Notice that if agent consume more foods, it burns a unit of each food to produce energy. Therefore in simulation mostly population converge to only one input food, which require the less effort to find, move and consume it than gathering more food types. The official report of my work is expected during spring semester 1999 . Temporary experiments results Out of my current experimental runs I picked some interesting phenomena.
Population evolve to recycle the food which is rare in the environment.
Rapid increase of population appears at timestep 70 when agents thanks to mutation change their food genome from preset one to more efficient in given environment. Without mutation population growth is only due to best individuals selection and their spread by reproduction. But variance is limited only to initial population, no new agent can evolve. Other non zero mutations don't differ much in effect, the selection pressure is high enough to choose only good mutations and resist to disadvantageous mutation cases. Mutation rates are enourmously high comparing to nature.