引子 ：未知  存在   宏观   认知   微观    系统

区划    分异   分区    分类   分型   分时   分级   

构造    结构     解构     析构    脆弱性   耐受度    适应性 

测度    有限    无穷    卷积   神经   稳定   确定  复杂度   一致性    精确度   高全多简  

功能   认知    应用    仿生   仿真   智能   智慧

关键词   区划分异     构造解构     功能测度     系统融合    仿生仿真     演绎程控    智能智慧      

无间时空     无限可能       全息涌现    级联呈现    逻辑闭合    意向生态

意向生态之理解说复杂度的简化诉求

When confronted with complex objects or systems, human cognitive abilities are limited, making it difficult to fully grasp and understand overly intricate matters. Therefore, people tend to simplify complex problems to better comprehend and address them. Simplifying complexity can reduce the difficulty of understanding and processing, thereby enhancing work efficiency. In algorithm design and optimization, reducing time complexity and space complexity can significantly improve algorithm execution efficiency. Simplified complexity is easier to communicate and disseminate among people, aiding in better understanding, grasping, and sharing of knowledge. People hope to better understand and grasp complex matters by simplifying their complexity. However, excessive simplification may lead to information loss or misunderstanding, thereby affecting accurate comprehension of the matter.

Simplified models may not accurately reflect actual conditions, resulting in inaccurate predictions. Caution should be exercised during the simplification process to ensure that critical information is not omitted. Furthermore, simplified models should be validated and adjusted based on actual conditions to improve their accuracy. In summary, the desire for simplification is a natural response when humans face complex objects or systems. By simplifying complexity, people can better understand and grasp the essence and laws of objects or systems. However, caution and accuracy are also required during the simplification process to avoid information loss or misunderstanding. Additionally, simplified models need to be validated and adjusted according to actual conditions to ensure they accurately reflect reality.

意向生态之控制说认知度的全息诉求

Cybernetics is a science that studies the general laws of system control and regulation. It integrates multiple disciplines such as automatic control, communication, computer science, mathematical logic, neurophysiology, statistics, behavioral science, and sociology, forming an interdisciplinary science with methodological nature. From the cybernetic perspective, the cognitive process can be regarded as a control system, in which the subject (the cognizer) controls the information of the object (the cognized) based on predetermined purposes and with the aid of cognitive structures. This control manifests as a series of mental operation processes, including information acquisition, storage, processing, transformation, and feedback. The holographic pursuit implies that the subject aspires to obtain comprehensive and complete information or knowledge about the object. This pursuit reflects the subject's quest for the integrity and accuracy of cognition. In the cognitive process, the subject hopes to utilize the principles and methods of cybernetics to achieve a comprehensive and accurate understanding of the object through mental operation activities such as comprehensive information acquisition, storage, processing, transformation, and feedback of the object. This pursuit embodies the subject's high demand for the integrity and accuracy of cognition, and also suggests the need for effective control strategies and methods in the cognitive process to ensure the realization of cognitive goals. In practical applications, this pursuit may manifest in various aspects, such as comprehensive data collection and analysis in scientific research, systematic knowledge imparting and learning in education, and comprehensive market research and decision-making in business management. In these scenarios, the subject needs to gain a deep understanding and accurate grasp of the target object through comprehensive acquisition and processing of relevant information.

意向生态之临界说关联度的互因诉求

In a complex system, the interactions between things are ubiquitous. These interactions can lead to changes in the degree of correlation between things. When the degree of correlation reaches a certain level, an interdependent relationship emerges among things, which in turn gives rise to interdependent demands. These demands propel the various elements within the system to interact and influence each other, thereby forming a dynamically balanced system. The interactions and mutual influences among things within the system result in changes to the system's internal structure and state, further driving its evolution and development. By understanding this statement, we can better grasp the operational laws and mechanisms of complex systems, providing useful insights and references for solving practical problems.

意向生态之标的说闭合度的导向诉求

意向生态之系统说分异度的中心诉求

意向生态之应用说融合度的跨界诉求

意向生态之结构说适应度的功能诉求

意向生态之隶属说创新（质）度的复合诉求

•

附记：海洋与大气热动力系统和过程结构形成演化及其气候和环境生态作用影响与风险区划