Sentence examples for power of simulations from inspiring English sources

Returning to the defense of the epistemic power of simulations, there are also grounds for rejecting the epistemological dependence thesis.

A defense of the epistemic power of simulations against Morgan's (2002) argument could come in the form of a defense of the identity thesis, or in the form of a rejection of the epistemological dependency thesis.

In conclusion, we propose that the standard tool box of any ecologist should comprise a combination of simulation and empirical approaches to benefit from the realism of empirical experiments as well as the statistical power of simulations.

6. Solitaire and the power of simulation Computers have played a key role in the science of probability.

In order to advance scope and explanatory power of simulation models, collaboration in interdisciplinary research teams is needed.

We hope that these examples demonstrate the power of simulation work in the context of eyewitness ROCs: Assumptions about memory and decision processes can be made explicit and tested against data.

Based on the concept of Concurrent Engineering, we make full use of the power of simulation for the design of the part, the mold, and setting up process control parameters automatically.

A fundamental-based model of the frying process that can also be solved in a commercially available software would provide tremendous benefit to design of fried food products and frying processes by making the power of simulation available for design.

Originally simulations were carried out in vacuo, but now with the increasing power of computers, simulations are usually carried out using periodic boundary conditions in water.

Sporting events can also show the power of Monte Carlo simulations because sports can be broken down into specific events like an at-bat in baseball, or a possession in football or basketball.

This demonstration extends the power of translational simulations of acute inflammation beyond the responses of idealized organisms [89] [91], quantitative prediction of inflammation occurring in experimental animals [52], and simulations of populations (clinical trials) [88], [92], [93].