دستگاه های بوم شناختی که تحت تأثیر تغییرات محیطی یا دخالت انسان هستند، در طی سالیان
مورد علاقۀ بسیاری از پژوهشگران قرار گرفته اند، چراکه توصیفی طبیعی از بسیاری فرآیندها …‎

In this paper, we study the relationship between learning and evolution in a simple abstract
model, where neural networks capable of learning are evolved using genetic algorithms …

In the history of science, bridging the gap between different scientific fields usually leads to
new insights and new discoveries, as it has happened many times from the age of Galileo. In …

In the marine ecosystem, the time delay or lag may occur in the predator response function,
which measures the rate of capture of prey by a predator. This is because, when the growth …

Mismanagement of societal aging is an important threat to health care, social security, and
the economy of many nations. A System Dynamics simulation model related to societal …

The problems in daily life can be solved with mathematical models, such as the model of
Lotka-Volterra to find out how growth of animals. This model can be modified into the …

Technical systems evolution follow trends, some laws describe the different steps of
evolution of those systems. These laws are known as “laws of technical systems evolution” …

Abstract The book Historical Dynamics: Why States Rise and Fall by P. Turchin contains one
of the first efforts to apply basic system dynamics (SD) to the analysis of the past human …

The modelling of dynamic system is a challenging problem in a large number of applications
like prediction, bio-data modelling, computer vision or time-series processing. To face the …

The predator-prey model has been extensively developed in recent research. This research
is an applied literature study with a proposed dynamics model using the Crowley–Martin …