Abstract:The nano-technology requires new methodology to handle difficult problems that involve the information processing, material technology and life phenomena in the nano-world. Concentrating on the synthesis of techniques in scientific frontier fields such as KDD(Knowledge Discovery in Database), evolutionary computation, rough set and logic, a new artificial life model for pattern mining and discovery has been proposed and the corresponding emergent algorithm has been built and implemented. The original contribution of the research work can be summarized in the following two principal respects: (a) pattern mining and discovery for genomic dynamics within the theoretic framework of artificial life; (b) information fusion of multiparadigm for modeling and building of evolutionary KDD system with rough pattern inference. Through computer experiments the artificial sequence generated by computational processes has matched the evidence convinced by the latest scientific reality. The work is helpful to analyze and build the next generation of bio-nonferrous metal materials in the level of genomics and nano-technology.

Key words: artificial life　functional genomics　pattern mining and discovery