简介：Inthispapertheprocessofknowledgeaccumulationforaparticulartechnologyisstudied.Twocountries,saythetechnologyfollowerandthetechnologyfrontier,areconsidered.Thefrontier’sknowledgegrowthisdeterminedbyitsR&Deffortsonthetechnology.ThelevelofknowledgestockforthefollowercountryisaugmentedbyitsR&Dactivitiesforthetechnologyandabsorbingsomeoftheexternalknowledgethroughspilloverfromthefrontier.Theextenttowhichthefollowerisabletoexploittheexternalknowledgedependsontechnologicalgap,absorptivecapacity,absorptiontimeanddegreeofspillover.Newconceptssuchasnaturalandenhanceddegreeofspillover,backgroundandinnovativeknowledgeandabsorptionspeedareintroducedinthepresentworktodeeplyexploretheprocessofknowledgespillover.ThefactorsinfluencingtheknowledgedevelopmentinthelongtermaresimultaneouslystudiedinanintegratedstructureprovidedbytheSystemDynamicsapproach.Thisframeworkshowstheresponsestothechangesandprovidesthebasisforexaminingtheinteractionsamongthevariablesovertime.

简介：我们考虑排队网络(QN的)与反馈，环由“聪明”的代理人漫步，能在QN节点根据他们的测量等待的时间选择他们的路由。这是一个理想化的模特儿讨论对一个服务供应商保持忠诚的顾客的动力学，如果他们的服务时间在批评阀值下面留下。为这些QN的家，我们证明交通流动可以展出典型地在多代理人系统遇到的集体模式。在简单网络拓扑学，突现的合作行为经由稳定的宏观的时间的摆动表明自己，由噪音现象的队列内容和稳定的同步。为大量控制参数，大数字的法律的内在的存在使我们能使用确定的进化法律到经分解描绘我们的多代理人系统的合作进化。特别地，我们学习服务者偶发地易于改变他们的平常的行为的失败的盒子。

简介：Thispaperanalyzesthedynamicsofnonlinearmultivariatetimeseriesmodelsthatisrepresentedbygeneralizedimpulseresponsefunctionsandasymmetricfunctions.Weillustratethemeasuresofshockpersistencesandasymmetriceffectsofshocksderivedfromthegeneralizedimpulseresponsefunctionsandasymmetricfunctioninbivariatesmoothtransitionregressionmodels.TheempiricalworkinvestigatesabivariatesmoothtransitionmodelofUSGDPandtheunemploymentrate.

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简介：Amulti-agentmodelispresentedtodiscussthemarketdynamicsandthesizedistributionoffirms.Themodelemphasizestheeffectsofincreasingreturnstoscaleandgivesthedescriptionofthebornanddeathofadaptiveproducers.Theevolutionofmarketstructureanditsbehaviorunderthetechnologicalshocksareinvestigated.Itsdynamicalresultsareingoodagreementwithsomeempirical"stylizedfacts"ofindustrialevolution.Withthediversityofdemandandadaptivegrowthstrategiesoffirms,thefirmsizeinthegeneralizedmodelobeysthepower-lawdistribution.Threefactorsmainlydeterminethecompetitivedynamicsandtheskewedsizedistributionsoffirms:1.Self-reinforcingmechanism;2.Adaptivefirmgrowingstrategies;3.Demanddiversityorwidespreadheterogeneityinthetechnologicalcapabilitiesoffirms.

简介：平常的微分方程颂诗广泛地被使用确定HIV病毒的动力学。从吵闹的数据估计颂诗参数有趣却挑战性，特别数据有一些孤立点。在这研究，作者使用吝啬的移动孤立点模型MSOM基于颂诗的二拍子的圆舞评价在HIV模型检测孤立点。为移动参数的近似公式被导出。而且，20个测试统计数值被构造，它的接近的分发被建立。模拟结果显示出那：1边界点相对内部点在参数评价上有更多的影响。2建议过程能有效地检测孤立点。作者从HIV临床的试用用一个申请例子说明建议途径并且发现到模拟的类似的模式学习。

简介：在这份报纸，有合并Crowley燕子的二分布式的细胞内部的延期的一个HIV动力学模型功能的反应感染率被调查。作者在我们的系统考虑多重阶段疾病传播和隐而不见地的感染的房间(还没生产的病毒)。作者考虑nonnegativity，解决方案的固定，和系统的全球asymptotic稳定性。由构造合适的Lyapunovfunctionals并且使用Lyapunov-LaSalle不变性原则，作者证明全球稳定性感染(地方性)为时间延期的平衡和diseasefree平衡。作者证明了如果基本繁殖数字R0是不到统一，那么，没有疾病的平衡是全球性asymptotically稳定，并且如果R0比统一大，那么，感染的平衡是全球性asymptotically稳定。结果获得了模型的全球动态行为被基本繁殖数字R0完全决定并且时间延期不影响模型的全球asymptotic性质的表演。

简介：DELAY_Nisakindofimportantfunctioninsystemdynamic.Studiesaboutthebasicrelationaltypebetweenitsinputandoutputunderthediscretestatehavethesignificantinfluenceandinstructionindeterminationsystemdynamicsmodelparameter,indebuggingmodel,andinanalyzingresult.ThearticlehasobtainedtheDELAY_Ninputoutputrelationalexpressions,hasobtainedtheinputaveragedelaytimeandthedelayvarianceexpression,inthisfoundution,proposedonemethodofdeterminationdelayfunctiontype.

简介：Recentdevelopmentsincomputationalsciencesandcomputermodelinghaveallowedemergencypreparednessexercisestoincludesimulationmodelsassupportingtools.Thesesimulationmodelsaregenerallybuiltforpredictingtemporalandgeographicpatternsofdiseasespread.Howeversoleuseofsimulationmodelsinexercisedesignfallsshortintermsofincorporatingpolicydecisionmakers'preferencesintodecision-makingprocesses.Inthispaper,ageneralframeworkforexercisingpublichealthpreparednessplanswithadecisionsupportsystemispresentedtointegrateestimationofkeyepidemiologicalparameterswithasystemdynamicsmodelofanoutbreak.Amulti-criteriadecisionmakingframework,anAnalyticalHierarchyProcessmodel,isthendevelopedandintegratedwiththesimulationmodeltohelppublichealthpolicymakersprioritizetheirresponsegoalsandevaluatemitigationstrategiesinatable-topexerciseenvironment.