An approach using component technology for the development of System Dynamics models is introduced. At first a brief introduction of System Dynamics, its modeling perspective and its modeling elements is given. The representation of System Dynamics models in Vensim, an interactive software environment for the handling of such models, is described. On this basis the paper provides an approach fo...

csdms, The Community Surface Dynamics Modeling System, is an NSF funded project whose focus is to aid a diverse community of earth and ocean system model users and developers to use and create robust software quickly. To this end, csdms develops, integrates, archives and disseminates earth-system models and tools to an international (67 country) community with the goal of building the set of to...

The accurate modeling of protein dynamics in crystalline states is essential for the development of computational techniques for simulating protein dynamics under physiological conditions. Following a previous coarse-grained modeling study of atomic fluctuations in protein crystal structures, we have refined our modeling with all-atom representation and force field. We have calculated the aniso...

This study was conducted to collect comprehensive identification about Markhoz goat population and to simulate past dynamics of the population under its living conditions.Census data of the population size and the required parametersfor the simulation modelwere obtained frompublished data or were collected in its habitat in the last 3 years. In this study, past population dynamics and expected ...

The long term goal attaining of economic system management requires the establishment of a dynamic framework to integrate multiple perspectives. This article considers the problem of economic development in macro level. As economic systems are complex adaptive systems composed of numerous numbers of components of dynamic and multidimensional nature, dynamics method is applied in this research. ...

This paper describes a novel simulation framework that integrates discreteevent modeling with system-dynamics modeling. The former has strength in system performance evaluation; meanwhile, the later has an advantage of representing feedback mechanisms in complex systems. We are currently developing a hybrid-modeling framework, which combines discrete-event modeling with system dynamics modeling...

System dynamics depends heavily upon quantitative data to generate feedback models. Qualitative data and their analysis also have a central role to play at all levels of the modeling process. Although the classic literature on system dynamics strongly supports this argument, the protocols to incorporate this information during the modeling process are not detailed by the most influential author...