Evolutionary Game Theory for Empirical Evidence

Abstract

Recent technological advances have enabled substantial amounts of accurate data to be experimentally measured in various complex systems. Until now we have developed extraction models to elucidate the essence of complex phenomena and have analyzed this model. However, this model is contrary to fact due to several constraints mathematically, numerically. This talk bridges the gap between game theory and empirical evidence\ninvolving complex phenomena.\n\n In detail, this research is based on Kikkawa [1] and derives Multi-Level Logit model which is used in Micro-Econometrics, Nash equilibrium. Up to the present, Mckelvey and Palfrey [2] which is used by Multi-Level Logit model is known to explain the experimental result. But Mckelvey and Palfrey [2] is a theory to explain the data. This talk presents new game theory which is considered from a real data.