Ever since the concept of swarm intelligence was brought out, a variety of control algorithms for swarm robotics has been put forward, and many of these algorithms are stable enough and efficient. Most of the research...Ever since the concept of swarm intelligence was brought out, a variety of control algorithms for swarm robotics has been put forward, and many of these algorithms are stable enough and efficient. Most of the researches only take an invariable controller which functions through the whole stage into consideration, the situation in which controller changes over time is rarely taken into account. However, there are limitations for invariable controller dominated algorithms in practical situation,which makes them unable to meet changing environment. On the contrary, variable controller is more flexible and can be able to adapt to complex environment. Considering such advantages,a time-varying algorithm for swarm robotics is presented in this paper. The algorithm takes time as one of the independent variables so that the controller is no longer fixed through the time,but can be changed over time, which brings more choices for the swarm robot system. In this paper, some relevant simulations are designed to test the algorithm. Different control strategies are applied on the same flock during the time, and a more complex,flexible and practical control effect is acquired successfully.展开更多
The mission reliability assessment plays a great role in logistics planning and supporting resource optimization of complex system.But the current problem,which is difficult to solve,is how to model and analyze the ch...The mission reliability assessment plays a great role in logistics planning and supporting resource optimization of complex system.But the current problem,which is difficult to solve,is how to model and analyze the characters of system reliability under the complex mission profile.In order to solve the problem,an agentbased simulation method was used to assess reliability for complex systems with various random working conditions.A multi-working condition simulation agent(MA)was designed and used to simulate the random transferring process of working conditions of system,and it cooperated with system simulation agents(SAs)and unit simulation agents(UAs)to realize system mission reliability(MR)simulation.Through simulation experiments,effect of multiple working conditions mission on the reliability of system was analyzed by comparing with the basic reliability condition.Feasibility and efficiency of the method were proved through simulation experiments of the case system.The research result provides a viable and useful method and a solution for MR analysis and assessment of complex systems in multi-working conditions,which can help to evaluate the reliability of operating system orienting to the practical mission and environment,and it is meaningful for the reliability analysis and the design of complex systems.展开更多
In order to facilitate and coordinate spatial data sharing and exchange,many organisations have developed spatial data infrastructures(SDIs).SDI governance plays a pivotal role in the development and evolution of an S...In order to facilitate and coordinate spatial data sharing and exchange,many organisations have developed spatial data infrastructures(SDIs).SDI governance plays a pivotal role in the development and evolution of an SDI,but as SDIs are complex adaptive systems,governing is a challenge.This research therefore proposes a complexity perspective to SDI governance by exploring the use of agent-based modelling to simulate and examine SDI governance interactions.In this agent-based simulation,we examine interactions between SDI stakeholders,data availability and the effects of different governance styles(hierarchical,network and laissez-faire governance)and budget policies.The simulation shows that it is possible to mimic SDI governance dynamics through agent-based modelling.By running different scenarios,it appears that a network approach is more successful compared to a hierarchical or laissez-faire approach.Expert validation shows that overall the results of the simulation are credible and insightful,although improvements can be made to make the model more realistic.With agent-based modelling,SDI governance becomes more tangible and visible,which facilitates discussion and understanding.Agent-based modelling therefore appears to be a helpful new approach in a better understanding of the complexities and dynamics of SDI governance.展开更多
With the increase of the urban population and the rapid development of urbanization in China,a large number of old buildings will be demolished and produce a huge amount of waste.Currently the recycling ratio of old b...With the increase of the urban population and the rapid development of urbanization in China,a large number of old buildings will be demolished and produce a huge amount of waste.Currently the recycling ratio of old building materials is very low,which results in the problems of resource waste and environment pollution.This greatly challenges urban sustainable development.With respect to the continual growth of demolition waste quantities,it is urgent to research how to implement effective management of demolition wastes by focusing on the demolition agents' behavior.Based on the theory of complexity,this paper analyzes the demolition waste management from the perspective of complex adaptive system.Taking into account the "green" demolition(building dismantling) and conventional demolition(building demolished) methods,the agent-based modeling method with Repast Simphony platform is applied to simulate interactions between demolition agents.The longitudinal trend of demolition waste quantities is forecasted.展开更多
基金supported by the Beijing Municipal Natural Science Foundation(4152004)the National Natural Science Foundation of China(61204040)
文摘Ever since the concept of swarm intelligence was brought out, a variety of control algorithms for swarm robotics has been put forward, and many of these algorithms are stable enough and efficient. Most of the researches only take an invariable controller which functions through the whole stage into consideration, the situation in which controller changes over time is rarely taken into account. However, there are limitations for invariable controller dominated algorithms in practical situation,which makes them unable to meet changing environment. On the contrary, variable controller is more flexible and can be able to adapt to complex environment. Considering such advantages,a time-varying algorithm for swarm robotics is presented in this paper. The algorithm takes time as one of the independent variables so that the controller is no longer fixed through the time,but can be changed over time, which brings more choices for the swarm robot system. In this paper, some relevant simulations are designed to test the algorithm. Different control strategies are applied on the same flock during the time, and a more complex,flexible and practical control effect is acquired successfully.
文摘The mission reliability assessment plays a great role in logistics planning and supporting resource optimization of complex system.But the current problem,which is difficult to solve,is how to model and analyze the characters of system reliability under the complex mission profile.In order to solve the problem,an agentbased simulation method was used to assess reliability for complex systems with various random working conditions.A multi-working condition simulation agent(MA)was designed and used to simulate the random transferring process of working conditions of system,and it cooperated with system simulation agents(SAs)and unit simulation agents(UAs)to realize system mission reliability(MR)simulation.Through simulation experiments,effect of multiple working conditions mission on the reliability of system was analyzed by comparing with the basic reliability condition.Feasibility and efficiency of the method were proved through simulation experiments of the case system.The research result provides a viable and useful method and a solution for MR analysis and assessment of complex systems in multi-working conditions,which can help to evaluate the reliability of operating system orienting to the practical mission and environment,and it is meaningful for the reliability analysis and the design of complex systems.
基金This work is part of the research programme Maps4Society with project number 13717(GOV4SDI)which is(partly)financed by the Dutch Research Council(NWO).
文摘In order to facilitate and coordinate spatial data sharing and exchange,many organisations have developed spatial data infrastructures(SDIs).SDI governance plays a pivotal role in the development and evolution of an SDI,but as SDIs are complex adaptive systems,governing is a challenge.This research therefore proposes a complexity perspective to SDI governance by exploring the use of agent-based modelling to simulate and examine SDI governance interactions.In this agent-based simulation,we examine interactions between SDI stakeholders,data availability and the effects of different governance styles(hierarchical,network and laissez-faire governance)and budget policies.The simulation shows that it is possible to mimic SDI governance dynamics through agent-based modelling.By running different scenarios,it appears that a network approach is more successful compared to a hierarchical or laissez-faire approach.Expert validation shows that overall the results of the simulation are credible and insightful,although improvements can be made to make the model more realistic.With agent-based modelling,SDI governance becomes more tangible and visible,which facilitates discussion and understanding.Agent-based modelling therefore appears to be a helpful new approach in a better understanding of the complexities and dynamics of SDI governance.
基金the support of the National Science Foundation for Young Scholars of China (Grant No.71202101)Scientific Planning Research Grant (No.2009-K4-17,No.2011-K6-24)Ministry of Housing and Urban-Rural Development of P.R.C.
文摘With the increase of the urban population and the rapid development of urbanization in China,a large number of old buildings will be demolished and produce a huge amount of waste.Currently the recycling ratio of old building materials is very low,which results in the problems of resource waste and environment pollution.This greatly challenges urban sustainable development.With respect to the continual growth of demolition waste quantities,it is urgent to research how to implement effective management of demolition wastes by focusing on the demolition agents' behavior.Based on the theory of complexity,this paper analyzes the demolition waste management from the perspective of complex adaptive system.Taking into account the "green" demolition(building dismantling) and conventional demolition(building demolished) methods,the agent-based modeling method with Repast Simphony platform is applied to simulate interactions between demolition agents.The longitudinal trend of demolition waste quantities is forecasted.
