引子   系统流思想    复杂网路控制     关注尺度     平衡尺度  形而上下    耗散生克     加减律    全真性尺度演绎      智能智慧化      新质生产力    道德无时代感     

There are only two things in the world that deeply touch our hearts: one is the brilliant starry sky above our heads, and the other is the lofty moral standards within us.

Small to the point of having no interior, large to the point of having no exterior. The philosophical contemplation of the scales and boundaries of things involves a profound exploration of the existence of entities, the delimitation of their scopes, and how these boundaries influence our understanding of the world. In the realm of philosophy, scale is often associated with our perception and comprehension of attributes such as the size, quantity, and distance of objects, while boundaries serve as the dividing lines that categorize these attributes.

Delving into the scales of things entails examining their positions in space and time, as well as how they interact with their surrounding environment. How do we define the "bigness" and "smallness" of things? Are scales relative or absolute? These questions lead us to ponder the essence of things and their placement within the universe.

The concept of boundaries is even more intricate, encompassing the separation and connection between things. Are boundaries fixed or fluid? What determines them? How do we identify and comprehend these boundaries? These inquiries prompt us to delve deeper into the classification, structure, and interconnectedness of things.

In philosophical deliberations, scales and boundaries are often intertwined with our cognition of the real world, language, and modes of communication. How do we comprehend and describe scales and boundaries through language and concepts? How do these descriptions shape our worldviews and values? These questions urge us to reflect on the limitations and possibilities of human cognition.

Therefore, philosophical reflection on the scales and boundaries of things is an extensive and profound domain, encompassing discussions on the existence of entities, modes of cognition, linguistic communication, and worldviews. Such contemplation aids us in comprehending the essence of things and their placement in the universe more comprehensively, while also encouraging us to reflect on and expand the boundaries of our own cognition.

The intelligent and smart flow system of complex networks is a comprehensive system that involves multiple fields and technologies. It primarily utilizes techniques such as complex network theory, artificial intelligence, and smart technologies to construct a system capable of efficiently processing, analyzing, and optimizing network traffic. Here are some key points regarding the intelligent and smart flow system of complex networks:

Application of Complex Network Theory: Complex network theory provides powerful tools for understanding and analyzing network traffic. This theory can assist us in identifying critical nodes, community structures, and dynamic changes within the network, thereby enabling more effective management and optimization of network traffic.

Application of Artificial Intelligence and Machine Learning: With the aid of artificial intelligence and machine learning techniques, the intelligent and smart flow system can achieve real-time monitoring, prediction, and regulation of network traffic. Through the analysis of historical data, the system can learn patterns and regularities of network traffic, predict future traffic trends, and automatically adjust network resource allocation to meet demand.

Integration of Smart Technologies: Smart technologies such as the Internet of Things, cloud computing, and big data provide powerful technical support for the intelligent and smart flow system of complex networks. These technologies enable centralized management of network resources, real-time sharing of data, and efficient processing, thereby enhancing the overall intelligence level of the system.

Optimization of Network Performance: Through the fine management and optimization of network traffic, the intelligent and smart flow system can significantly improve network performance. This includes reducing network congestion, increasing data transmission speeds, and reducing failure rates, thereby enhancing user experience and overall network efficiency.

Enhancement of Network Security: Through real-time monitoring and intelligent analysis, the system can promptly detect and respond to network attacks and threats, ensuring the secure and stable operation of the network.

In summary, the intelligent and smart flow system of complex networks is a field with broad application prospects. It will provide powerful support for the efficient processing, analysis, and optimization of network traffic, driving the further development of new productive forces in the information society.

附记   尺度演绎之复杂开放系统平衡测度之尺度与自由度论异常态的形而上响应与形而下耗散互馈机制

引子    区域选择     状态与控制      分异确界    临界分析   调控因子    层级尺度   叠加复合    波动曲成      区划规划    管理治理

按语   整体分异常悉      局部划分常查        临界互馈常晓        跨界平衡常明      过界异常常预      系统控制常得

1. 异常态并非直接取决于控制变量，其尺度受关注尺度的最小公约与最大公倍限制

2. 自由度存在最大尺度限制

3. 关联尺度通过公约下限尺度互馈调控

4. 同尺度平衡态与异常态受直接关联上限尺度谐振

5. 尺度功能具有全息分异结构，最小尺度无穷势决定扰动源的能量零点和全息度

6. 尺度演绎量子化意识决定复杂网络演化功能奇点涌现的主要数学结构，测度加减律构成全真性逼近（距离-封闭-极限-收敛-完备）。