针对未来战争对无人系统的需求不断增加,提出一种适用于狭小空间和复杂环境的新型无人系统——两栖无人作战车系统,同时具备地面行驶、墙面爬行、空中飞行和协同作战能力。采用基于Agent的建模与仿真(agent-based modeling and simulati...针对未来战争对无人系统的需求不断增加,提出一种适用于狭小空间和复杂环境的新型无人系统——两栖无人作战车系统,同时具备地面行驶、墙面爬行、空中飞行和协同作战能力。采用基于Agent的建模与仿真(agent-based modeling and simulation,ABMS)方法,在分析其应用任务场景的基础上,通过构造任务场景、桌面模型、仿真验证,深入分析两栖无人作战车系统应具备的功能,并根据分析结果提出所需解决的关键技术。结果表明:该系统对扩展无人系统任务环境、提升自主作战能力有着重要意义。展开更多
从理论层面剖析了煤矿安全管理中的不安全行为惩罚制度与矿井作业人员行为选择之间的内在作用关系,采用基于复杂适应性理论的多主体建模仿真方法(Agent-Based Modeling and Simulation,ABMS)对矿井作业人员行为选择系统进行建模,调研获...从理论层面剖析了煤矿安全管理中的不安全行为惩罚制度与矿井作业人员行为选择之间的内在作用关系,采用基于复杂适应性理论的多主体建模仿真方法(Agent-Based Modeling and Simulation,ABMS)对矿井作业人员行为选择系统进行建模,调研获取仿真基础数据,并采用Netlogo平台仿真不同制度属性下矿井作业人员行为选择的宏观涌现现象,分析煤矿不安全行为惩罚制度对作业人员行为选择的作用效果.展开更多
针对网络化装备保障体系复杂自适应系统特性,提出了一种基于Agent建模与仿真(Agent-Based Modeling and Simulation,ABMS)的网络化装备保障方案决策分析方法。对装备保障方案决策分析进行了形式化定义,构建了其分析方法的总体框架;基于...针对网络化装备保障体系复杂自适应系统特性,提出了一种基于Agent建模与仿真(Agent-Based Modeling and Simulation,ABMS)的网络化装备保障方案决策分析方法。对装备保障方案决策分析进行了形式化定义,构建了其分析方法的总体框架;基于装备保障方案决策准则,从保障效益、保障代价和保障效率3个角度,构建了可动态仿真实测的决策分析指标体系;基于装备保障方案变量分析,构建了由编成编组结构模型、通信网络结构模型、指挥交互规则模型和状态行为规则模型构成的多Agent保障模型体系。以3种典型的网络化装备保障方案的决策分析为示例,验证了方法的可行性与有效性。展开更多
How to predict and change organizational performance has been a focus problem drawing economists and managers’attention for a long time.The Big-five Factor theory is very popular among psychologists and ABMS(Agent-Ba...How to predict and change organizational performance has been a focus problem drawing economists and managers’attention for a long time.The Big-five Factor theory is very popular among psychologists and ABMS(Agent-Based Modeling and Simulation)method is widely used in Systems Science.By integrating Big-five Factor and ABMS,we proposed a model to predict organizational performance.Fuzzy rules were built up to describe one-on-one cooperation in the five dimensions of personalities and an unsymmetrical network model was established to depict cooperation relationships between team members.What is more,a series of cases was studied and the result was proved to be rational.展开更多
There has been a large increase in the number of days per year with numerous EF1-EF5 tornadoes.Given the significant damage incurred by tornadoes upon communities,community resilience analyses for tornado-stricken com...There has been a large increase in the number of days per year with numerous EF1-EF5 tornadoes.Given the significant damage incurred by tornadoes upon communities,community resilience analyses for tornado-stricken communities have been gaining momentum.As the community resilience analysis aims to guide how to lay out effective hazard mitigation strategies to decrease damage and improve recovery,a comprehensive and accurate approach is necessary.Agent-based modeling,an analysis approach in which different types of agents are created with their properties and behavior clearly defined to simulate the processes of those agents in an external environ-ment,is the most comprehensive and accurate approach so far to conducting community resilience simulations and investigating the decision-making for mitigation and recovery under natural hazards.In this paper,agent-based models(ABMs)are created to simulate the recovery process of a virtual testbed based on the real-world community in Joplin City,MO.The tornado path associated with the real-world tornado event that occurred in May 2011 is adopted in the tornado hazard modeling for the Joplin testbed.In addition,agent-based models are created for another virtual community in the Midwest United States named Centerville using an assumed tornado scenario of the same EF-scale as that in Joplin.The effects of hazard mitigation strategies on the two communities are also explored.A comparison between the analysis results of these two testbeds can indicate the influence of the characteristics of a tornado-prone community on the resilience of the community as well as on the effects of hazard mitigation strategies.It is observed that a community’s level of development significantly impacts the tornado resilience.In addition,the effects of a specific type of hazard mitigation strategy on the recovery process are contingent upon testbed characteristics.展开更多
文摘针对未来战争对无人系统的需求不断增加,提出一种适用于狭小空间和复杂环境的新型无人系统——两栖无人作战车系统,同时具备地面行驶、墙面爬行、空中飞行和协同作战能力。采用基于Agent的建模与仿真(agent-based modeling and simulation,ABMS)方法,在分析其应用任务场景的基础上,通过构造任务场景、桌面模型、仿真验证,深入分析两栖无人作战车系统应具备的功能,并根据分析结果提出所需解决的关键技术。结果表明:该系统对扩展无人系统任务环境、提升自主作战能力有着重要意义。
文摘从理论层面剖析了煤矿安全管理中的不安全行为惩罚制度与矿井作业人员行为选择之间的内在作用关系,采用基于复杂适应性理论的多主体建模仿真方法(Agent-Based Modeling and Simulation,ABMS)对矿井作业人员行为选择系统进行建模,调研获取仿真基础数据,并采用Netlogo平台仿真不同制度属性下矿井作业人员行为选择的宏观涌现现象,分析煤矿不安全行为惩罚制度对作业人员行为选择的作用效果.
文摘针对网络化装备保障体系复杂自适应系统特性,提出了一种基于Agent建模与仿真(Agent-Based Modeling and Simulation,ABMS)的网络化装备保障方案决策分析方法。对装备保障方案决策分析进行了形式化定义,构建了其分析方法的总体框架;基于装备保障方案决策准则,从保障效益、保障代价和保障效率3个角度,构建了可动态仿真实测的决策分析指标体系;基于装备保障方案变量分析,构建了由编成编组结构模型、通信网络结构模型、指挥交互规则模型和状态行为规则模型构成的多Agent保障模型体系。以3种典型的网络化装备保障方案的决策分析为示例,验证了方法的可行性与有效性。
文摘How to predict and change organizational performance has been a focus problem drawing economists and managers’attention for a long time.The Big-five Factor theory is very popular among psychologists and ABMS(Agent-Based Modeling and Simulation)method is widely used in Systems Science.By integrating Big-five Factor and ABMS,we proposed a model to predict organizational performance.Fuzzy rules were built up to describe one-on-one cooperation in the five dimensions of personalities and an unsymmetrical network model was established to depict cooperation relationships between team members.What is more,a series of cases was studied and the result was proved to be rational.
基金Financial support for this work was provided by the US Department of Commerce,the National Institute of Standards and Technology(NIST)under the Financial Assistance Award Number#70NANB20H008the US National Science Foundation(NSF)under Award Number 2052930.
文摘There has been a large increase in the number of days per year with numerous EF1-EF5 tornadoes.Given the significant damage incurred by tornadoes upon communities,community resilience analyses for tornado-stricken communities have been gaining momentum.As the community resilience analysis aims to guide how to lay out effective hazard mitigation strategies to decrease damage and improve recovery,a comprehensive and accurate approach is necessary.Agent-based modeling,an analysis approach in which different types of agents are created with their properties and behavior clearly defined to simulate the processes of those agents in an external environ-ment,is the most comprehensive and accurate approach so far to conducting community resilience simulations and investigating the decision-making for mitigation and recovery under natural hazards.In this paper,agent-based models(ABMs)are created to simulate the recovery process of a virtual testbed based on the real-world community in Joplin City,MO.The tornado path associated with the real-world tornado event that occurred in May 2011 is adopted in the tornado hazard modeling for the Joplin testbed.In addition,agent-based models are created for another virtual community in the Midwest United States named Centerville using an assumed tornado scenario of the same EF-scale as that in Joplin.The effects of hazard mitigation strategies on the two communities are also explored.A comparison between the analysis results of these two testbeds can indicate the influence of the characteristics of a tornado-prone community on the resilience of the community as well as on the effects of hazard mitigation strategies.It is observed that a community’s level of development significantly impacts the tornado resilience.In addition,the effects of a specific type of hazard mitigation strategy on the recovery process are contingent upon testbed characteristics.
