Suchergebnisse

Understanding the distribution of income and wealth in an economy has been a classic problem in economics for the last hundred years. Apart from the rapidly decaying number density of people with their income crossing over to a robust power law for the very rich, known as the Pareto power-law, after Vilfredo Pareto. With the availability of accurate data from finance/income-tax departments of various countries, several robust features of the income distribution have been established. The book will report on the major models developed mainly by the (econo-) physicists over the last decade. Almo

Using tricks to handle coupled nonlinear dynamical many-body systems, several advancements have already been made in understanding the behavior of markets/economic/social systems and their dynamics. The book intends to provide the reader with updated reviews on such major developments in both econophysics and sociophysics, by leading experts in the respective fields. This is the first book providing a panoramic view of these developments in the last decade.

Preface -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Background -- 1.1.1 Minority Game -- 1.1.2 Kolkata Restaurant Problem -- 1.2 Motivation of the Book -- 1.3 Plan of the Book -- 2 Kolkata Paise Restaurant Problem -- 2.1 Introduction -- 2.2 Stochastic Learning Strategies -- 2.2.1 Random Choice Strategies -- 2.2.2 Rank Dependent Strategies -- 2.2.3 Strict Crowd-Avoiding Case -- 2.2.4 Stochastic Crowd Avoiding Case -- 2.3 Convergence to a Fair Social Norm with Deterministic Strategies -- 2.3.1 A `Fair' Strategy -- 2.3.2 Asymptotically Fair Strategy -- 2.4 Summary and Discussion -- 3 Phase Transition in the Kolkata Paise Restaurant Problem -- 3.1 Introduction -- 3.2 The Models -- 3.3 Results from Numerical Simulations -- 3.3.1 Model A -- 3.3.2 Model B -- 3.4 Analytical Treatment of the Models in Mean Field Case -- 3.4.1 Approximate Analysis of the Critical Point and Faster-Is-Slower Effect -- 3.4.2 Analysis of the Finite Size Effects on the Time to Reach the Absorbing State -- 3.5 Summary and Discussions -- 4 Zipf's Law from Kolkata Paise Restaurant Problem -- 4.1 Introduction -- 4.2 Model -- 4.3 Results -- 4.3.1 Distribution of Sizes -- 4.3.2 Utilization -- 4.3.3 Evolution with Fitness -- 4.4 Empirical Evidences -- 4.5 Summary and Discussions -- 5 Minority Game and Kolkata Paise Restaurant Problem -- 5.1 Introduction -- 5.2 Strategy of the Agents -- 5.2.1 Uniform Approximation in Guessing the Excess Crowd -- 5.2.2 Nonuniform Guessing of the Excess Crowd -- 5.2.3 Following an Annealing Schedule -- 5.3 Effect of Random Traders -- 5.4 Summary and Discussions -- 6 From Classical Games, the Kokata Paise Restuarant Game, to Quantum Games -- 6.1 A Short Introduction to Classical Games -- 6.1.1 Definitions and Preliminaries -- 6.1.2 Repeated Games -- 6.1.3 Games and Evolution Theory -- 6.2 KPR -- 6.2.1 Some Simple KPR Results