A general operational protocol which provides permanent macroscopic coherence of the response of any stable complex system put in an ever-changing environment is proposed. It turns out that the coherent response consi...A general operational protocol which provides permanent macroscopic coherence of the response of any stable complex system put in an ever-changing environment is proposed. It turns out that the coherent response consists of two parts: 1) a specific discrete pattern, called by the author homeostatic one, whose characteristics are robust to the statistics of the environment;2) the rest part of the response forms a stationary homogeneous process whose coarse-grained structure obeys universal distribution which turns out to be scale-invariant. It is demonstrated that, for relatively short time series, a measurement, viewed as a solitary operation of coarse-graining, superimposed on the universal distribution results in a rich variety of behaviors ranging from periodic-like to stochastic-like, to a sequences of irregular fractal-like objects and sequences of random-like events. The relevance of the Central Limit theorem applies to the latter case. Yet, its application is still an approximation which holds for relatively short time series and for specific low resolution of the measurement equipment. It is proven that the asymptotic behavior in each and every of the above cases is provided by the recently proven decomposition theorem.展开更多
Given the escalating intricacy and multifaceted nature of contemporary social systems,manually generating solutions to address pertinent social issues has become a formidable task.In response to this challenge,the rap...Given the escalating intricacy and multifaceted nature of contemporary social systems,manually generating solutions to address pertinent social issues has become a formidable task.In response to this challenge,the rapid development of artificial intelligence has spurred the exploration of computational methodologies aimed at automatically generating solutions.However,current methods for the auto-generation of solutions mainly concentrate on local social regulations that pertain to specific scenarios.Here,we report an automatic social operating system(ASOS)designed for general social solution generation built upon agent-based models that enables both global and local analyses and regulations of social problems across spatial and temporal dimensions.ASOS adopts a hypergraph with extensible social semantics for a comprehensive and structured representation of social dynamics.It also incorporates a generalized protocol for standardized hypergraph operations and a symbolic hybrid framework that delivers interpretable solutions,yielding a balance between regulatory efficacy and functional viability.To demonstrate the effectiveness of the ASOS,we apply it to the domain of averting extreme events within international oil futures markets.By generating a new trading role supplemented by new mechanisms,ASOS can adeptly discern precarious market conditions and make front-running interventions for nonprofit purposes.This study demonstrated that ASOS provides an efficient and systematic approach for generating solutions for enhancing our society.展开更多
SNMPv1 is very successful due to its simplicity, fiexibility, and extensibility. However, simplicity can also be a drawback. In SNMPv1, a manager can oilly retrieve one piece of information at a time, and an agent mer...SNMPv1 is very successful due to its simplicity, fiexibility, and extensibility. However, simplicity can also be a drawback. In SNMPv1, a manager can oilly retrieve one piece of information at a time, and an agent merely reports one error to its manager, though there may be several errors having occurred during the protocol operation. These two interactions enlarge the number of protocol exchanges between a manager and an agent. SNMPv2 permits the retrieval of large data blocks, but the errors can only be handled one by one. These errors continually occur in a multivendor network. This paper proposes an error handling method in SNMPv2 protocol operations. In this method, all errors within a received PDU (Protocol Data Unit) can be detected by the agent simultaneously.展开更多
文摘A general operational protocol which provides permanent macroscopic coherence of the response of any stable complex system put in an ever-changing environment is proposed. It turns out that the coherent response consists of two parts: 1) a specific discrete pattern, called by the author homeostatic one, whose characteristics are robust to the statistics of the environment;2) the rest part of the response forms a stationary homogeneous process whose coarse-grained structure obeys universal distribution which turns out to be scale-invariant. It is demonstrated that, for relatively short time series, a measurement, viewed as a solitary operation of coarse-graining, superimposed on the universal distribution results in a rich variety of behaviors ranging from periodic-like to stochastic-like, to a sequences of irregular fractal-like objects and sequences of random-like events. The relevance of the Central Limit theorem applies to the latter case. Yet, its application is still an approximation which holds for relatively short time series and for specific low resolution of the measurement equipment. It is proven that the asymptotic behavior in each and every of the above cases is provided by the recently proven decomposition theorem.
基金supported by the National Key Research and Development Program of China(No.2021ZD0200300)the National Nature Science Foundation of China(Nos.61836004 and 62088102)the IDG/McGovern Institute for Brain Research at Tsinghua University,China.
文摘Given the escalating intricacy and multifaceted nature of contemporary social systems,manually generating solutions to address pertinent social issues has become a formidable task.In response to this challenge,the rapid development of artificial intelligence has spurred the exploration of computational methodologies aimed at automatically generating solutions.However,current methods for the auto-generation of solutions mainly concentrate on local social regulations that pertain to specific scenarios.Here,we report an automatic social operating system(ASOS)designed for general social solution generation built upon agent-based models that enables both global and local analyses and regulations of social problems across spatial and temporal dimensions.ASOS adopts a hypergraph with extensible social semantics for a comprehensive and structured representation of social dynamics.It also incorporates a generalized protocol for standardized hypergraph operations and a symbolic hybrid framework that delivers interpretable solutions,yielding a balance between regulatory efficacy and functional viability.To demonstrate the effectiveness of the ASOS,we apply it to the domain of averting extreme events within international oil futures markets.By generating a new trading role supplemented by new mechanisms,ASOS can adeptly discern precarious market conditions and make front-running interventions for nonprofit purposes.This study demonstrated that ASOS provides an efficient and systematic approach for generating solutions for enhancing our society.
基金This research was supported by the National .863, High-Tech Programme of China under grant No.863306-ZD08-01-2.
文摘SNMPv1 is very successful due to its simplicity, fiexibility, and extensibility. However, simplicity can also be a drawback. In SNMPv1, a manager can oilly retrieve one piece of information at a time, and an agent merely reports one error to its manager, though there may be several errors having occurred during the protocol operation. These two interactions enlarge the number of protocol exchanges between a manager and an agent. SNMPv2 permits the retrieval of large data blocks, but the errors can only be handled one by one. These errors continually occur in a multivendor network. This paper proposes an error handling method in SNMPv2 protocol operations. In this method, all errors within a received PDU (Protocol Data Unit) can be detected by the agent simultaneously.