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The term experimentalization describes the interaction between the life sciences, the arts, architecture, media and technology within the experimental paradigm, ca. 1830 to 1930. The Virtual Laboratory is a platform that not only presents work on this topic but also acts as a research environment for new studies.
Computer experiments have been employed with many purposes in mind. Some of those include: Uncertainty quantification: Characterize the uncertainty present in a computer simulation arising from unknowns during the computer simulation's construction.
The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [13] by Abraham Wald in the context of sequential tests of statistical hypotheses. [14]
In scientific research, an experimental system is the physical, technical and procedural basis for an experiment or series of experiments. Historian of science Hans-Jörg Rheinberger defines an experimental system as: "A basic unit of experimental activity combining local, technical, instrumental, institutional, social, and epistemic aspects."
Experimental software engineering involves running experiments on the processes and procedures involved in the creation of software systems, [citation needed] with the intent that the data be used as the basis of theories about the processes involved in software engineering (theory backed by data is a fundamental tenet of the scientific method).
There are several methods of finding an optimal design, given an a priori restriction on the number of experimental runs or replications. Some of these methods are discussed by Atkinson, Donev and Tobias and in the paper by Hardin and Sloane. Of course, fixing the number of experimental runs a priori would be impractical. Prudent statisticians ...
Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is based on Bayesian inference to interpret the observations/data acquired during the experiment. This allows accounting for both any prior knowledge on the parameters to be determined as well as ...
An instructional simulation, also called an educational simulation, is a simulation of some type of reality (system or environment) but which also includes instructional elements that help a learner explore, navigate or obtain more information about that system or environment that cannot generally be acquired from mere experimentation.