  In this paper we study the emergence of homeostasis in a two-layer system of
the Game of Life, in which the Game of Life in the first layer couples with
another system of cellular automata in the second layer. Homeostasis is defined
here as a space-time dynamic that regulates the number of cells in state-1 in
the Game of Life layer. A genetic algorithm is used to evolve the rules of the
second layer to control the pattern of the Game of Life. We discovered that
there are two antagonistic attractors that control the numbers of cells in
state-1 in the first layer. The homeostasis sustained by these attractors are
compared with the homeostatic dynamics observed in Daisy World.
