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Class-2 agents, on the other hand, are those that are transit providers in some equilibria and stubs in others.
It is also shown that the AM2b model can provide interesting qualitative information to the user, such as the influence on some equilibria of the variation in the concentration of organic matter in the influent concentration.
In other words, the agents in Class-2 are mostly those that end up as transit providers in some equilibria simply because they were "lucky" in those sample paths to get some customers early in the network formation process, accumulating transit volume and then attracting even more customers.
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By designing a taxation scheme appropriately, it is possible to perturb the preferences of agents so that they are rationally incentivised to choose some desirable equilibrium that might not otherwise be chosen, or incentivised to rule out some undesirable equilibria.
Using the initial concentration profiles estimated by EFA and MCR-ALS for the mole ratio method with a reasonable lack-of-fit error of 0.13802% has resolved the pure absorption spectra and concentration profiles and allowed the identification of some species equilibria (Equations 1 to 3).
However, some of those equilibria are not stable, and the simulations are affected by this feature.
Let's prove that some of those equilibria are not stable.
What happens if there are multiple equilibria, some Pareto dominated by others, then which will be selected?
Note that other regulations can restrict profits of insurers, ruling out some of the equilibria with profits above the legal limit.
This allows one to assert the persistence of some steady-states (equilibria) which stand for points of maximal isotropy for the action of Γ on the perturbed torus.
Note that the pure non-cooperative game may result in non-convergence or some undesirable Nash equilibria with low system and individual performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com