PRINCIPLES OF ADAPTATION IN COMPLEX SYSTEMS

我将研究复杂适应系统的行为， 数学工具，包括模型基因组系统的分析 将大约100，000个基因及其产物以“连接主义者”的方式连接起来 并行处理网络 这些模型可以预测大的 规模结构和行为的基因组调控系统，如 细胞类型的数量和稳定性以及基因表达的重叠 不同细胞类型的模式。此外，我将继续致力于 形态发生的模型 实验工作的重点是产生 部分随机基因和蛋白质的文库，并试图 进化出新的功能蛋白质。

I shall study the behavior of complex adaptive systems based on new mathematical tools including the analysis of model genomic systems linking about 100,000 genes and their products in a 'connectionist' parallel processing network. These models allow prediction of the large scale structure and behavior of genomic regulatory systems such as the numbers and stability of cell types and the overlap of gene expression patterns in diverse cell types. In addition, I shall continue work on models of morphogenesis. Experimental work is focused on generating libraries of partially stochastic genes and proteins and attempting to evolve novel functional proteins.