Dawkins's Evolutionary Game Theory

Dawkins, who offers an explanation of this seemingly high-convoluted behavior in terms of a simple “evolutionary game theory”. This theory is especially relevant for this essay in terms of how politics can be understood scientifically as it implies that all human interaction and behavior is highly predictable. Political science is just syntactic sugar for “people interacting with other people”; that’s all it is really. Dawkins says that our actions are mainly determined by our genes and we make decisions based on how well that decision will allow our genes to propagate in the gene pool. It is all so simple that it seems reasonable to believe that with a good enough understanding of genetics, we can also understand politics. The notion of our behavior being reduced to a game theory scenario also strongly implies that there is a mathematical quality t¬o how humans make decisions. If

There is no doubt that with the trend towards digital voting that data will become available that will allow us to do things that people in the past would have deemed impossible. As described in the section of the Dawkins Selfish Gene theory, human behavior could very well be modeled by knowing the DNA the human in question; knowing the genetic makeup of a large society would not only facilitate a biometric database to allow secure voting in the facilitation of fair elections, but also allow modeling of the entire political landscape. Such information coupled with the voting data from the constituents themselves could fathomably allow for the simulation and prediction of the effects of different governmental decisions. The end result of this would be a positive feedback loop that guarantees constituents their safety as a result of an optimal government representatives and optimal decisions from those in power. Technology is an incredible thing that is evolving to allow modelling if ever increasing complex systems. This includes