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Population dynamics have been used in several control theory applications. Evolutionary game theory can be used in different industrial or other contexts. Industrially, it is mostly used in multiple-input-multiple-output (MIMO) systems, although it can be adapted for use in single-input-single-output (SISO) systems.
Thomas Malthus was one of the first to note that populations grew with a geometric pattern while contemplating the fate of humankind. [3] One of the most basic and milestone models of population growth was the logistic model of population growth formulated by Pierre François Verhulst in 1838.
The book An Essay on the Principle of Population was first published anonymously in 1798, [1] but the author was soon identified as Thomas Robert Malthus.The book warned of future difficulties, on an interpretation of the population increasing in geometric progression (so as to double every 25 years) [2] while food production increased in an arithmetic progression, which would leave a ...
Original image of a logistic curve, contrasted with what Verhulst called a "logarithmic curve" (in modern terms, "exponential curve") The logistic function was introduced in a series of three papers by Pierre François Verhulst between 1838 and 1847, who devised it as a model of population growth by adjusting the exponential growth model, under the guidance of Adolphe Quetelet. [5]
A Malthusian growth model, sometimes called a simple exponential growth model, is essentially exponential growth based on the idea of the function being proportional to the speed to which the function grows. The model is named after Thomas Robert Malthus, who wrote An Essay on the Principle of Population (1798), one of the earliest and most ...
Malthusianism. Malthusianism is a theory that population growth is potentially exponential, according to the Malthusian growth model, while the growth of the food supply or other resources is linear, which eventually reduces living standards to the point of triggering a population decline. This event, called a Malthusian catastrophe (also known ...
The model is stochastic in order to account for the variability of growth rates as a function of external conditions like weather. In particular, if X {\displaystyle X} is the current insect population, α {\displaystyle \alpha } is the intrinsic growth rate , and σ {\displaystyle \sigma } is a variance coefficient, the authors assume that
This model can be generalized to any number of species competing against each other. One can think of the populations and growth rates as vectors, α 's as a matrix.Then the equation for any species i becomes = (=) or, if the carrying capacity is pulled into the interaction matrix (this doesn't actually change the equations, only how the interaction matrix is defined), = (=) where N is the ...