Statistical Physics of Agent-Based Modeling for Social Systems
This is the first book to provide useful concepts and tools for dealing with agent-based modeling of social systems from the point of view of statistical physics. The statistical physics approach links social scientists with physicists and computer scientists through correlations in empirical data sets. Especially important is that readers will easily be able to recognize that spin systems including the Ising model and its variants can be applied to various social and economic systems as a minimal but universal model to determine the macroscopic properties of an artificial society. It has also been discovered that various empirical data can be built into the model through external fields acting on each spin or interaction between spins. In this sense, the model is regarded as random spin systems including so-called spin glasses. Drastic changes such as bubbles, crashes, or breakdowns in society due to interacting agents are well understood as phase transitions in the literature of physics. This book presents various examples of such remarkable phenomena and provides a useful guide for readers to utilize statistical physics modeling and analysis by applying them to topics such as financial markets, labor markets, housing markets, and social problems. Each interacting agent as a minimum gradient of artificial society can be regarded as a spin, namely, a tiny magnet on an atomic-scale length. By carefully solving the exercises with data analyses in this well-organized book, readers who have no background in physics can easily come to understand the statistical physics approach. For that reason, this book is highly recommended to researchers who seek to learn unconventional ways of thinking about social and economic systems.
Introduces the concept of statistical physics of information to be applied to socioeconomic problems, with all necessary materials contained in this bookProvides ample exercises to help readers to learn the statistical physics approach as an unconventional approach for social scientists and economistsIncludes sample codes for simulations from the author’s Web site