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Selforganizology, 2015, 2(1): 1-12
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Connecting game theory and evolutionary network control for the computational control of soccer matches

Alessandro Ferrarini
Department of Evolutionary and Functional Biology, University of Parma, Via G. Saragat 4, I-43100 Parma, Italy

Received 28 November 2014;Accepted 5 January 2015;Published online 1 March 2015
IAEES

Abstract
Game theory, also known as interactive decision theory, is an umbrella term for the logical side of decision science, including both human and non-human events. In this paper a new game theory model is introduced in order to tame complex human events like soccer matches. Soccer-Decoder is a math algorithm recently introduced in order to simulate soccer matches by merging together 3 scientific methods: game theory, differential calculus and stochastic simulations. The philosophy behind Soccer-Decoder is that even very complex real world events, when turned into their irreducible essence, can be understood and predicted. In this work, Soccer-Decoder is combined with Evolutionary Network Control in order to provide a proficient tool to decide the most proper game strategies for determining winning strategies in soccer events. An illustrative example is given. The ratio behind this work is that even very complex real world events can be simulated and then controlled when using appropriate scientific tools.

Keywords complexity;game theory;Evolutionary Network Control;iteration;real life simulations;soccer event;stochasticity.

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