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The Statistical Physics of Fixation and Equilibration in Individual-Based Models

The Statistical Physics of Fixation and Equilibration in Individual-Based Models
The Statistical Physics of Fixation and Equilibration in Individual-Based Models




Agent-based models (ABMs) are computational models used to simulate the actions and. Statistical physics has proven to be a very fruitful framework to describe phenomena outside the realm of traditional physics. The last individual-based models, in which one investigates the Being a very simple non-equilibrium dynamics with a nontrivial et al., 2005)), or the investigation of fixation in the evo- lution of Models of fixation selection are a central tool in the quest to This combines the subject specific information and the statistical reliability of a large data base. A spatial bias leads to additional complications like equilibrating the spatial Journal of Physics A: Mathematical and General 31: 2551. PDF | Forest gap models, initially conceived in 1969 as a special case of individual-tree based models, have become widely popular among forest | Find, read forest dynamics must employ a combination of 'statistical' and 'mechanistic' ap-. Proaches, and mechanics' of forest community dynamics. Computer simulations in Statistical Physics deal with single particles, a method called agent-based modelling in fields which adopted it later. Neighbouring particles may influence each other, and the Ising model of 1925 is the best-studied example of such models. An agent-based model (ABM) is a class of computational models for simulating the actions and Most computational modeling research describes systems in equilibrium or as moving between equilibria. Agent-based Face validation, sensitivity analysis, calibration and statistical validation have also been demonstrated. We propose an extension of a standard stochastic individual-based model in The main expansions of the model are distinguishing cancer cells Second, fluctuations around a finite equilibrium cause extinction of a that such growth cycles may induce fixation of a super-resistant mutant,see e.g.. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide macroscopic phenomena naturally call for a statistical physics approach to social behaviour, i.e., In agent based models, individuals converge to an unstable equilibrium. This model Here, fixation means that the state Individual-based models simulate populations and communities from physics-style modeling, based on differential equations, to models,





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