Action is man's practical activity towards the objective world, and the way man transforms the world and himself. There is a dialectical and unified relationship between consciousness and action, that is, consciousness is dominated by action and at the same time reacts to action. When a person realizes that he or the society has a certain need, he will have the desire to meet the need, so as to further consciously determine the purpose of pursuit, draw up a plan to achieve the purpose, and take action. This kind of action is always dominated by consciousness adjustment, it is conscious, directed to a certain purpose and is connected with efforts to overcome the obstacles encountered in achieving the purpose. Human actions are affected by motivational factors and environmental factors. produced results. Human action is a process of weighing the gains and losses brought about by different choices. When a person is faced with multiple choices, he will compare the opportunity cost of each choice and choose the one with the lowest opportunity cost. Human action is the process of pursuing to maximize one's own satisfaction or happiness. When a person consumes or acts, he will consider the marginal utility brought by each unit of consumer goods or services, and the value of each unit of consumer goods or services. The marginal cost that needs to be paid, human actions are also in the process of being influenced and restricted by social forces and signals.

Human society is driven by technology. In the digital age, people have the need to obtain information, express information, and act to solve problems. When society enters the digital age, people and digitalization are inseparable. Digitalization is an inevitable process of human evolution. The digital process of acting based on data first requires us to obtain information from the environment, secondly we need to express, reason and plan the information, and finally we interact with the social environment to finally achieve our desired goal. The digital system requires three systems for processing:

"Information" system (subsystem of information) - this system is responsible for collecting user behavior data from various terminal devices (such as mobile phones, computers, cameras, Internet of Things devices, etc.), and the system also needs to clean, standardize, and store data and management for subsequent analysis and application;

"Model" system (subsystem of model) - this system is responsible for analyzing and mining the data collected by the information system, and constructing user models to understand user needs, preferences, and behavior patterns. The system also needs to use machine learning, data mining and other technologies to predict and recommend user behavior to improve user satisfaction and loyalty;

"Action" system (subsystem of action) - this system is responsible for providing accurate and high-frequency services to users based on the analysis results of the model system. The system also needs to continuously optimize products and services based on user feedback, improve user experience and value.

Human society is a complex dynamic system, influenced and restricted by various factors, and has uncertainty and variability. Therefore, behaviors that can only be explained and predicted by the overall and continuous data relationship rather than a single one, in the objective world Among them, there is a world of another form and structure corresponding to order, which is characterized by nonlinear, chaotic and disordered. Digitization is to find order in chaos and reveal the simple laws that may be hidden behind seemingly random phenomena. , in order to discover the common laws generally followed by a large class of complex problems. Such as weather, stock market, human society, etc. These systems are often affected by many internal and external factors, which in turn interact and feed back, causing the behavior of the system to be difficult to describe with simple formulas. The challenge of chaotic systems for humans is that they make it difficult for us to predict and control future outcomes, exposing us to more uncertainty and risk. How digitization can help users make a correct behavior decision, we can learn from the idea of fractal model, which is a mathematical model that describes complex shapes and structures in nature. It believes that complex shapes can be composed of simple shapes that are repeated and scaled continuously. Examples include snowflakes, tree branches, coastlines, etc. The characteristic of the fractal model is that it has self-similarity, that is, no matter how many times it is enlarged or reduced, the same or similar shapes can be seen.

We can think of user behavior data as a fractal model, that is, a user's behavior consists of a series of simple or complex decisions, and each decision is affected by previous and subsequent decisions. By collecting and analyzing user behavior data, we can find hidden rules and patterns, and transform them into visualized and operable information. We can use this information to design a product model based on the butterfly effect, that is, by guiding users to make small but meaningful changes at key nodes, thereby affecting the development direction and outcome of their future behavior. It can analyze the user's goals, motivations, preferences, emotions and other factors based on the user's behavior data, and give optimal behavior suggestions. For example, if a user wants to lose weight, the product model can calculate the daily calorie intake and consumption of the user based on the user's diet, exercise, sleep and other data, and remind the user to arrange a reasonable diet and exercise plan. At the same time, the product model can also give appropriate psychological support and incentives according to the emotional changes of users. In this way, users can achieve their goals through some small behavioral changes and enjoy the benefits of the ordered state.

Use data to guide people's actions, and provide scientific, objective, and effective basis and guidance for people's actions by collecting, analyzing, and utilizing various data. Data-driven decision-making can help people improve decision-making quality and efficiency, reduce uncertainty and risk, and enhance innovation and competitiveness. Use data to guide people's actions, build a data ecosystem, and realize data assetization, intelligence, and value. In personal life, use data to guide people's actions, and use various digital tools and platforms to obtain personalized, intelligent, and Convenient service and experience, use data to guide people's actions, and provide new ideas, methods, models and opportunities for people's actions by mining, integrating, and innovating various data. Data-enabled innovation can help people expand their knowledge boundaries and horizons, stimulate creativity and imagination, and promote technological progress and social development. Use data to guide people's actions, and use technical means such as big data analysis, forecasting and early warning, and intelligent response to identify social risks, solve social problems, and optimize social public services. From the perspective of data shaping civilization, using data to guide people's actions is to provide new values, cultural connotations, and spiritual support for people's actions through dissemination, communication, and sharing of various data.

Conclusion: The digital transformation of human beings is an inevitable trend of social development. The development of AI technology and the birth of GPT let us see the inflection point of the digital age. In the future, autonomous and automated actions will be everywhere, and our thinking and behavior will become More closely, the development of digitalization also guides Web3 to gradually replace and cover Web2. Data democratization, data autonomy, and data tokenization in the Web3 environment can promote innovation and cooperation. This can provide more possibilities for various data applications and businesses, and can also motivate more people and organizations to participate in the process of data sharing and innovation. This can help create a more open and innovative data ecosystem, which can lead to a more sustainable and beneficial social development. Web3 technology can realize decentralized data governance, that is, realize data autonomy and governance through technologies such as smart contracts and decentralized autonomous organizations. This can help eliminate centralized data control and power monopoly, while also providing users with a more democratic, transparent and fair data governance mechanism. At the right time, when the singularity of technological development is approaching, a digital identity, data management, and data asset circulation platform based on Web3, AI, and big data technology was born. FlerkenS is based on various terminals used by Internet users The network is built based on basic daily activities. Users choose different FlerkenS digital companions to equip their own data collection with NFT, and provide users with a variety of digital application products through GPT data processing. FlerkenS aims to promote the digital life of billions of people, make correct life and life decisions through digital guidance, let people live a healthier and perfect lifestyle, improve life through behavioral data, and help us become a behavior the right person.