中文摘要：

这是总标题下的第十篇．主要内容如副标题所述．主标题下全文的总目的是试图从现代物理、分子生物学与脑神解剖学等学科领域的最新实验事实，以及相应的前沿理论领域围绕着演化概念研究的展开所获得已有理念与成就为基础，按照“由大爆炸理论所描述的物理世界之最初情景出现以来。世界物质总是在其不同时空点具体结构状态下的几种基本相互作用属性形成的制约机制造成的物质——能量结构与分布仍非完全平衡态势的推动下，不断地一层一层完成其全方位整体性进一步精细平衡结构，实现其该层次从无序到有序的起伏演化——这一总体自然法则”的认识主线，提出一种建立系统科学基础理论的定性定量框架思路与若干细节方法．文中对相互作用、进化、演化、适应性与复杂性等概念进行了分析，并对突变、分歧、吸引子、混沌、协同、分形等基于此种理论作了一种较为直观的诠释．同时，也将论及信息的本质与其人本意义下的价值概念，特别是她与非线性的密切关系等问题．当然，这一切均还是初步的，尽管其中一部分我们也已经获得了一些较为严谨的结果． 文章首先利用平均场理论讨论了自组织临界性模型，并与数值模拟的结果进行了比较，进而又在复杂网络的不同拓扑结构的背景下研究了该模型的雪崩动力学．且在文末阐述了所有这些与统计物理学在实质匕的本源关系．

英文摘要：

A qualitative and quantitative framework for the fundamental theory of system sciences as well as some derails are given on the basis of some new experimental evidence, ideals and achievements concerning evolution in many fields such as modem physics, molecule biology and brain anatomy, etc. Some concepts such as interaction, evolution, adaptability, and complexity are discussed. Intuitional annotations about catastrophe, bifurcation, attractor, chats, fractal and synergy are also given. The essence and the value of information, and the closed relation between information and nonlinearity are investigated. It is no doubt that all the works are to be considered in detail, although we have some rigorous results in particular steps. It is the tenth part of the paper. The self organization model on complex networks is discussed by the mean field theory, and the results are compared with the numerical simulations. The avalanche dynamics of the model are investigated for different topological structures of the small world networks. Moreover, we present the essential relation between the above theory and the statistical physics.