生命科学对代谢计算研究的一些启示

We summarize some general rules in intelligence science in this paper. Some common problems are discussed. As artificial metabolic algorithm for example, we analyze how to get inspiration from the research of life science and expand research scope in intelligence science. Based on research of neuroscience, we can build artificial neural network controlled by enzyme. Based on the understanding of the nature of tumor, we can get the relationship between tumor in medicine field and local value in mathematic field. We also try to work out the problem result from disadvantage of local value in system by taking advantaging of theory about tumor treatment. Based on idea from drug tolerance, we may operate many optimal algorithms in working out the same problem. We analyze some advantages of metabolic computing comparing with evolutionary computing. It shows that knowledge in metabolism from physiology field can propose inspiration for researching metabolic computation mechanism in intelligence science field. The metabolic computation technology can be improved continuously.