  Physarum Polycephalum is a unicellular slime mold that has been intensely
studied due to its ability to solve mazes, find shortest paths, generate
Steiner trees, share knowledge, remember past events, and its applications to
unconventional computing. The CELL model is a unicellular automaton introduced
in the recent work of Gunji et al. in 2008, that models Physarum's amoeboid
motion, tentacle formation, maze solving, and network creation. In the present
paper, we extend the CELL model by spawning multiple CELLs, allowing us to
understand the interactions between multiple cells, and in particular, their
mobility, merge speed, and cytoplasm mixing. We conclude the paper with some
notes about applications of our work to modeling the rise of present day
civilization from the early nomadic humans and the spread of trends and
information around the world. Our study of the interactions of this unicellular
organism should further the understanding of how Physarum Polycephalum
communicates and shares information.

Biological Physics;Optimization and Control