Sentence examples for based modeling is that from inspiring English sources

A common underlying theme motivating agent based modeling is that most complex phenomena observed in the physical world are the consequence of a much simpler set of rules that govern the dynamics of a large number of constituent entities that it is comprised of.

The advantage of the AHP model over the GRA based models is that the AHP model can be suitable to accommodate the qualitative criteria also.

General limitation with the physics based models is that the models do not account for the effects at the physical boundaries of the device.

A great advantage of Discrete Element Method compared to continuum based model is that meshes are built by individual elements and there is no need for re-meshing as the simulation progresses.

A further advantage of digital elevation based models is that they dynamically adjust the landscape in response to erosion and deposition, thus producing a better representation of slope length and angle over the duration of the simulation.

One interesting prediction from this energy and frequency based model is that white noise is not needed to produce synchronized neuron firings.

Therefore, it seems that ER based model is a suitable method for evaluating LNM.

A major challenge of individual-based modeling is that it addresses complex systems that include a large number of entities, hierarchical levels, and processes.

A major drawback of rule-based modeling is that the resulting model may be very large as one ODE is required for each feasible species.

We believe that one of the main advantages of agent-based modeling is that it may help to discover plausible behavioral rules to be verified empirically.

A very convenient feature of layer-based modeling is that the reduced model can be directly obtained, which means in particular that the preceding generation of a conventional model is not necessary.