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Computer simulation is the running of a mathematical model on a computer, the model being designed to represent the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determined by comparing their results to the real-world outcomes they aim to predict.
[1] [2] In the computer application of modeling and simulation a computer is used to build a mathematical model which contains key parameters of the physical model. The mathematical model represents the physical model in virtual form, and conditions are applied that set up the experiment of interest.
Social simulation is a research field that applies computational methods to study issues in the social sciences.The issues explored include problems in computational law, psychology, [1] organizational behavior, [2] sociology, political science, economics, anthropology, geography, engineering, [2] archaeology and linguistics (Takahashi, Sallach & Rouchier 2007).
The discipline of computational politics has emerged with growing use of social media and recent breakthroughs in computational methods. [1] [3] Social media has provided scientific researchers and campaign strategists with an unprecedented scale of latent, user-generated data, and there have been recent developments in computer science to store and manage large collections of data. [3]
Computational social science revolutionizes both fundamental legs of the scientific method: empirical research, especially through big data, by analyzing the digital footprint left behind through social online activities; and scientific theory, especially through computer simulation model building through social simulation.
Human-in-the-loop simulation of outer space Visualization of a direct numerical simulation model. Historically, simulations used in different fields developed largely independently, but 20th-century studies of systems theory and cybernetics combined with spreading use of computers across all those fields have led to some unification and a more systematic view of the concept.
Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.
From this follows that the largest simulation—the simulation preorder—is indeed a preorder relation. [1] Note that there can be more than one relation that is both a simulation and a preorder; [Note 2] the term simulation preorder refers to the largest one of them (which is a superset of all the others).