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The use of cognitive maps in support of solving practical problems of analysis of ill-structured situations and large-scale systems in economics, medicine, ecology, education and military-political sphere is growing. The problem of visual perception and understanding of cognitive maps is proven to be extremely urgent and practically important. The set of visualization methods that provide better perception...
This paper is concerned with the disturbance attenuation problem of fuzzy large-scale systems which consist of N interconnected subsystems which are represented by Takagi-Sugeno fuzzy models. Using Lyapunov function and linear matrix inequalities (LMIs), a criterion is proposed to have a prescribed level of disturbance attenuation. A numerical example is given to illustrate the control design procedure...
Agent-based modeling is one of the popular tools for analyzing complex socio-technical systems. Because of the complex nature of such systems a systematic methodology is required to guide the modeling process. By studying the existing methodologies in MAS we distinguished four major differences between MAS and ABM regarding goals, system scale and diversity, level of system understanding and verification...
In view of existing situations of development of newspaper advertising, with the problems of relationship between newspaper advertising and economy and society as the background, the control approach of coordinated development for newspaper advertising with economy and society is discussed, using large scale system cybernetics method from the point of view of large scale system, and then its corresponding...
We present a modular evolutionary framework, coined CASE for "complex adaptive system evolver", to automate the modeling and analysis of agent-based simulations (ABSs). The field of agent-based modeling is rapidly growing due to its capabilities to expose the emerging complex phenomena occurring in a wide range of natural and artificial systems such as biological cells, societies, battlefields,...
Aiming at the intelligibility reduced by composable model when original model substituted by metamodel, the analysis method of gray ratio for composable model is presented. The inherent black box essence of metamodel is analyzed, as well as the inherent gray box essence of composable model. The analysis method of gray ratio for composable model is presented, including the mapping relation between...
We propose a predictive modeling framework for human-involved complex systems in which humans play controlling roles. Affordance theory provides definitions of human actions and their associated properties, and the affordance-based Finite State Automata (FSA) model is capable of mapping the nondeterministic human actions into computable components in modeling formalism. In this paper, we further investigate...
Agent-based simulation (ABS) is a recent modeling technique that is being widely used in modeling complex social systems. Forrester's System Dynamics (SD) is another longstanding technique for modeling social systems. Several classical models of systems, such as the Kermack-McKendrick model of epidemiology, the Lotka-Volterra equations for modeling predator-prey relationships, and the Bass model for...
By adopting the theories and methods of large-scale system and beginning with the overall objectives of renewable resources industry chain harmonious development, a new idea of large system's multi-channel control of the harmonious development of renewable resources industry chain is studied and discussed in this essay. In addition, the plan and the design of renewable resources industry chain of...
Availability of large-scale network data for real systems is enabling mathematical and computational methods to systematically model the formation of the networks. Various growth models are proposed to reproduce the structures of the real-world networks. Evaluating how well a model fits the network data is an outstanding challenge, since the structures of networks that have tens of thousands of vertices...
In this paper, reasonable cost-sharing steps and the corresponding counting model of various types of transmission services were elaborated.On this basis, the transmission price formation mechanism was discussed. In deciding the principles of transmission cost allocation, the thinking of large scale system theory with voltage level decomposition was applied so that cost allocation model reflects the...
The problems concerning multi-mineral source, multi-ore-dressing plant, multi-mineral of complex mining and ore-dressing systems in regional mine emerge gradually, with resources changes in new areas, such as an unreasonable overall layout of production, overlap and duplicated construction. From the perspective of complex systems theory, this article used the theories and methods of system science,...
The increasing complexity of large-scale distributed applications motivates the study and development of self-organising systems. However, engineering self-organising systems is still a challenge. Despite their benefits, self-organising systems suffer from a lack of control and stability, so that methods and tools are needed for improving their understanding and control. In this paper, we consider...
One approach to engineering large-scale infrastructures (LSI) as self-organizing systems is to inform their design by concepts from economic theory. The paper presents an overview of the visions and intentions connected to, as well as critical aspects and limitations of this approach. As a discussion paper it reviews a selection of relevant literature. It is argued that for implementing economic behavior...
The development of economic and hybrid vehicles is only possible with complex systems to control the energy management and engine. The amount of embedded electronics and software to realize these systems increases continuously, and hence the complexity of the integration. The functional validation and testing of these systems is of increasing importance, as these systems have an increasing impact...
As construction Industry is part of the complex non-linear system of the national economic development, the BP neural network of the artificial intelligence can to some extent deal with problems of the complex nonlinear system. Therefore, it has been widely applied to solving macroeconomic problems at present. The paper through systematically integrating econometrics with BP neural network establishes...
This paper provides an overview of some of the techniques and methodologies utilized in the modelling of complex systems that involve many interacting components with different physical properties over different spatial and temporal scales. Such systems are difficult to resolve, since they exhibit high levels of uncertainty. We discuss modelling strategies and present some applications from the field...
With the rapid development of China's economy and continuous improvement of informatization levels, E-Government should achieve the cooperative development with economy and society. E-Government involves many domains, such as national governance, political affairs, economy, information technology, management theory and laws and regulations, which is the cross-cutting field striding over social sciences...
The purpose of this study was to explore the evolutionary rules of regional talent agglomeration system. From the perspective of complex adaptive system theory, this paper revealed spatial and hierarchical structure and process of evolution, then constructed dynamic evolutionary model of regional talent agglomeration system based on the analysis of characteristics of complex adaptation in regional...
The essential feature of complex systems is the multi-correlation between the various agents and elements of events. How to find out the potential relationship between the agents and elements of events from the mass of information is the key to the complicated problems. In this paper, the event diffuse model EDM was proposed to dig out sensitive information of the event from the relevance of bottom...
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