Complexity In Economic And Social Systems

Economics and the social sciences are, in fact, the “hard” sciences, as Herbert Simon argued, because the complexity of the problems dealt with cannot simply be reduced to analytically solvable models or decomposed into separate subprocesses. Nevertheless, in recent years, the emerging interdisciplinary “sciences of complexity” have provided new methods and tools for tackling these problems, ranging from complex data analysis to sophisticated computer simulations. In particular, advanced methods developed in the natural sciences have recently also been applied to social and economic problems. The twenty-one chapters of this book reflect this modern development from various modeling perspectives (such as agent-based models, evolutionary game theory, reinforcement learning and neural network techniques, time series analysis, non-equilibrium macroscopic dynamics) and for a broad range of socio-economic applications (market dynamics, technological evolution, spatial dynamics and economic growth, decision processes, and agent societies). They jointly demonstrate a shift of perspective in economics and the social sciences that is allowing a new outlook in this field to emerge. Contents:Market Dynamics:Trading Behavior and Excess Volatility in Toy Markets (M Marsili & D Challet)Percolation Models of Financial Market Dynamics (D Stauffer)Electrodynamical Model of Quasi-Efficient Financial Markets (K N Ilinski & A S Stepanenko)Multi-Agent Market Modeling of Foreign Exchange Rates (G Zimmermann et al.)Forecasting Price Increments Using an Artificial Neural Network (F Castiglione)Spectral Regularization, Data Complexity and Agent Behavior (A Ilyinsky)Technological Evolution:Dynamics of Economic and Technological Search Processes in Complex Adaptive Landscapes (W Ebeling et al.)New Results in a Self-Organized Model of Technological Evolution (A Arenas et al.)Firms' Decision-Making Process in an Evolutionary Model of Industrial Dynamics (W Kwasnicki)Spatial Dynamics and Economic Growth:Modelling Migration and Economic Agglomeration with Active Brownian Particles (F Schweitzer)The Evolution of Industrial Clusters — Simulating Spatial Dynamics (T Brenner & N Weigelt)The Growth Dynamics of German Business Firms (J Voit)A Dynamic Theory of a Firm: An Application of ‘Economic Forces’ (M Estola)Decision Processes:Adaptive Platform Dynamics in Multi-Party Spatial Voting (B M R Stadler)Subtle Nonlinearity in Popular Album Charts (R A Bentley & H D G Maschner)Dynamical Aspects in the Adoption of Agri-Environmental Measures (G Weisbuch & G Boudjema)Collective Choice and Mutual Knowledge Structures (D Richards et al.)Agent Societies:Evolutionary Study of Interethnic Co-Operation (V Kvasnicka & J Pospichal)Coalition Factor in the Evolution of Non-Kin Altruism (J-L Dessalles)Optimal Payoff Functions for Members of Collectives (D H Wolpert & K Tumer)A Day at the Beach: Human Agents Self-Organizing on the Sand Pile (H Ishii et al.) Readership: Researchers in the field of complex system science, economists, sociologists, physicists with an interdisciplinary focus, graduates, and professionals. Keywords:

There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.

There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.

This book presents the Proceedings of the 54th Winter School of Theoretical Physics on Simplicity of Complexity in Economic and Social Systems, held in Lądek Zdrój, Poland, from 18 to 24 February 2018. The purpose of the book is to introduce the new interdisciplinary research that links statistical physics, and particular attention is given to link physics of complex systems, with financial analysis and sociology. The main tools used in these areas are numerical simulation of agents behavior and the interpretation of results with the help of complexity methods, therefore a background in statistical physics and in physics of phase transition is necessary to take the first steps towards these research fields called econophysics and sociophysics. In this perspective, the book is intended to graduated students and young researchers who want to begin the study of this established new area, which connects physicists, economists, sociologists and IT professionals, to better understand complexity phenomena existing not only in physics but also in complex systems being seemingly far from traditional view at physics.

This book presents the Proceedings of the 54th Winter School of Theoretical Physics on Simplicity of Complexity in Economic and Social Systems, held in Lądek Zdrój, Poland, from 18 to 24 February 2018. The purpose of the book is to introduce the new interdisciplinary research that links statistical physics, and particular attention is given to link physics of complex systems, with financial analysis and sociology. The main tools used in these areas are numerical simulation of agents behavior and the interpretation of results with the help of complexity methods, therefore a background in statistical physics and in physics of phase transition is necessary to take the first steps towards these research fields called econophysics and sociophysics. In this perspective, the book is intended to graduated students and young researchers who want to begin the study of this established new area, which connects physicists, economists, sociologists and IT professionals, to better understand complexity phenomena existing not only in physics but also in complex systems being seemingly far from traditional view at physics.

This book now has something new to say about innovation analysing it in complex social systems while making innovation understandable and tractable using tools such as computational network analysis and agent-based simulation.

Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.

A 'Non-Toxic' Intermediate Textbook 'Here, at last, we have the ideal textbook for microeconomics from an evolutionary and institutional perspective. Wolfram Elsner does nothing less than reconstruct the principles of microeconomics for a world of interactive business networks, change and innovation, crisis and uncertainty, as well as coordination problems and cooperative joint ventures. The publication of this book is a landmark event in microeconomics.' – Phillip A. O'Hara, Curtin University of Technology, Perth, Australia and President-Elect of AFEE, 2012 'This microeconomics textbook by Wolfram Elsner provides a timely alternative for understanding the micro roots of uncertainty, complexity and crisis. The evolutionary and institutional perspective sheds new light on contemporary issues such as clusters, networks, innovation and coordination. By reading this textbook, teachers, students and practitioners will open their minds to new economic thinking.' – Ping Chen, Peking University, Beijing, Fudan University, Shanghai, China and author of Economic Complexity and Equilibrium Illusion This thorough reconstruction of microeconomics 'post-2008' provides economic students with a new way of real-world understanding and strategic qualification that will be better appreciated by their future employers and any professional practice. It will prove essential for economic students and other social science programs at a graduate level. This accessible and engaging textbook includes: • A survey of the most famous core models of modern microeconomics including the neoclassical approach and its heterodox critiques – Sraffian, Institutionalist, Post-Keynesian and Mirowskian • An introduction to complexity thinking in economics • An introduction to game theory • An introduction to the methods of complex computer simulation • An introduction to strategic behavior • An newly integrated approach to real-world and complexity economics, rather than focusing on neoclassical ('perfect') market equilibrium 'plus a thousand recent extra things on top'. See the companion website – www.microeconomics.us – for teaching material, readings, exams and as a general guide to explore issues raised in the book.