Combined model based on Moore parity CA and game of life
基于摩尔奇偶型CA与生命游戏演化的组合模型

This paper proposed new combination model of the game of life rule and the Moore parity cellular automata(MPCA)based on MPCA. First, used a initial configuration to evolve on MPCA. Then, introduced the game of life rule to deepen the evolution processing in the results of MPCA. Finally, the combined rules are followed by the implementation, until the cellular space was filled by the evolution. Experimental results demonstrate that the improved model largely diminish the depen-dence on the initial configuration, more various evolutionary pattern primitives and more dynamic patterns ground on the evolutionary framework appear in the MPCA evolutionary process. The evolutionary process is confirmed to be the rule of MPCA. The combined model is simple and able to quickly generate a large number of patterns with different characteristics patterns, to rich the methods of pattern generation.