Modeling Complexity In Economic And Social Systems

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Modeling Complexity in Economic and Social Systems

Author : Frank Schweitzer
Publisher : World Scientific
Page : 408 pages
File Size : 52,6 Mb
Release : 2002
Category : Business & Economics
ISBN : 9812380353

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Modeling Complexity in Economic and Social Systems by Frank Schweitzer Pdf

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.

Economics as an Agent-Based Complex System

Author : H. Deguchi
Publisher : Springer Science & Business Media
Page : 270 pages
File Size : 53,9 Mb
Release : 2011-06-28
Category : Business & Economics
ISBN : 9784431539575

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Economics as an Agent-Based Complex System by H. Deguchi Pdf

In agent-based modeling the focus is very much on agent-based simulation, as simulation is a very important tool for agent-based modeling. We also use agent-based simulation in this book with a stress on the mathematical foundation of agent-based modeling. We introduce two original mathematical frameworks, a theory of SLD (Social Learning Dynamics) and an axiomatic theory of economic exchange (Exchange Algebra) among agents. Exchange algebra gives bottom-up reconstruction of SNA (System of National Accountings). SLD provides the concept of indirect control of socio-economic systems to manage structural change and its stability. We also compare agent-based simulation with gaming simulation and investigate the epistemological foundation of agent-based modeling.

Simplicity of Complexity in Economic and Social Systems

Author : Dariusz Grech,Janusz Miśkiewicz
Publisher : Springer Nature
Page : 130 pages
File Size : 42,7 Mb
Release : 2020-11-08
Category : Science
ISBN : 9783030561604

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Simplicity of Complexity in Economic and Social Systems by Dariusz Grech,Janusz Miśkiewicz Pdf

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.

Complexity in Economic and Social Systems

Author : Stanisław Drożdż,Jarosław Kwapien,Paweł Oświęcimka
Publisher : MDPI
Page : 534 pages
File Size : 54,8 Mb
Release : 2021-05-11
Category : Business & Economics
ISBN : 9783036507941

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Complexity in Economic and Social Systems by Stanisław Drożdż,Jarosław Kwapien,Paweł Oświęcimka Pdf

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.

Complex Adaptive Systems

Author : John H. Miller,Scott E. Page
Publisher : Princeton University Press
Page : 285 pages
File Size : 55,9 Mb
Release : 2009-11-28
Category : Social Science
ISBN : 9781400835522

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Complex Adaptive Systems by John H. Miller,Scott E. Page Pdf

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

Theories and Simulations of Complex Social Systems

Author : Vahid Dabbaghian,Vijay Kumar Mago
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 46,5 Mb
Release : 2013-10-27
Category : Technology & Engineering
ISBN : 9783642391491

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Theories and Simulations of Complex Social Systems by Vahid Dabbaghian,Vijay Kumar Mago Pdf

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.

Simplicity of Complexity in Economic and Social Systems

Author : Dariusz Grech,Janusz Miśkiewicz
Publisher : Springer
Page : 130 pages
File Size : 47,7 Mb
Release : 2021-11-23
Category : Science
ISBN : 3030561623

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Simplicity of Complexity in Economic and Social Systems by Dariusz Grech,Janusz Miśkiewicz Pdf

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.

Complex Systems and Society

Author : Nicola Bellomo,Giulia Ajmone Marsan,Andrea Tosin
Publisher : Springer Science & Business Media
Page : 90 pages
File Size : 50,7 Mb
Release : 2013-05-24
Category : Mathematics
ISBN : 9781461472421

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Complex Systems and Society by Nicola Bellomo,Giulia Ajmone Marsan,Andrea Tosin Pdf

This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more than ever in order to better understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way; on the other hand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work is designed to take into account a multidisciplinary approach that will encourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying and unravelling complex systems; Introducing models of individual behaviours in the social and economic sciences; Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recently developed modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to modeling Darwinian evolution. Special attention is also devoted to social network theory as a fundamental instrument for the understanding of socio-economic systems.​

Social Self-Organization

Author : Dirk Helbing
Publisher : Springer
Page : 341 pages
File Size : 48,8 Mb
Release : 2012-05-05
Category : Science
ISBN : 9783642240041

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Social Self-Organization by Dirk Helbing Pdf

What are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling. We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Selected parts of this book had been previously published in peer reviewed journals.

Agent-Based Approaches in Economic and Social Complex Systems VI

Author : Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto
Publisher : Springer Science & Business Media
Page : 202 pages
File Size : 45,5 Mb
Release : 2011-01-12
Category : Social Science
ISBN : 9784431539070

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Agent-Based Approaches in Economic and Social Complex Systems VI by Shu-Heng Chen,Takao Terano,Ryuichi Yamamoto Pdf

Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics, management, sociology, and politics as well as some engineering fields dealing with social activities. This book includes selected papers presented at the Sixth International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Taipei in 2009. We have 39 presentations in the conference, and 14 papers are selected to be included in this volume. These 14 papers are then grouped into six parts: Agent-based financial markets; Financial forecasting and investment; Cognitive modeling of agents; Complexity and policy analysis; Agent-based modeling of good societies; and Miscellany. The research presented here shows the state of the art in this rapidly growing field.

The Complex Dynamics of Economic Interaction

Author : Mauro Gallegati,Alan P. Kirman,Matteo Marsili
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 45,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642170454

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The Complex Dynamics of Economic Interaction by Mauro Gallegati,Alan P. Kirman,Matteo Marsili Pdf

The economy is examined by the authors as a complex interactive system. The emphasis is on the direct interaction between agents rather than on the indirect and autonomous interaction through the market mechanism. Contributions from economists and physicists emphasise the consequences for aggregate behaviour of the interaction between agents with limited rationality. Models of financial markets which exhibit many of the stylised facts of empirical markets such as bubbles, herd behaviour and long memory are presented. This includes contributions on bargaining, buyer-seller relations, the evolution of economic networks and several aspects of macro-economic behaviour. This book will be of interest to all those interested in the foundations of collective social and economic behaviour and in particular, to those concerned with the dynamics of market behaviour and recent applications of physics to economics.

Modeling and Visualization of Complex Systems and Enterprises

Author : William B. Rouse
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 43,7 Mb
Release : 2015-07-01
Category : Technology & Engineering
ISBN : 9781118959633

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Modeling and Visualization of Complex Systems and Enterprises by William B. Rouse Pdf

Explains multi-level models of enterprise systems and coversmodeling methodology This book addresses the essential phenomena underlying theoverall behaviors of complex systems and enterprises. Understanding these phenomena can enable improving these systems.These phenomena range from physical, behavioral, andorganizational, to economic and social, all of which involvesignificant human components. Specific phenomena of interest andhow they are represented depend on the questions of interest andthe relevant domains or contexts. Modeling and Visualization ofComplex Systems and Enterprises examines visualization of phenomenaand how understanding the relationships among phenomena can providethe basis for understanding where deeper exploration is warranted.The author also reviews mathematical and computational models,defined very broadly across disciplines, which can enable deeperunderstanding. Presents a 10 step methodology for addressingquestions associated with the design or operation of complexsystems and enterprises Examines six archetypal enterprise problemsincluding two from healthcare, two from urban systems, and one eachfrom financial systems and defense systems Provides an introduction to the nature of complexsystems, historical perspectives on complexity and complex adaptivesystems, and the evolution of systems practice Modeling and Visualization of Complex Systems andEnterprises is written for graduate students studying systemsscience and engineering and professionals involved in systemsscience and engineering, those involved in complex systems such ashealthcare delivery, urban systems, sustainable energy, financialsystems, and national security.

Social Systems Engineering

Author : César García-Díaz,Camilo Olaya
Publisher : John Wiley & Sons
Page : 310 pages
File Size : 47,8 Mb
Release : 2017-12-26
Category : Mathematics
ISBN : 9781118974452

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Social Systems Engineering by César García-Díaz,Camilo Olaya Pdf

Uniquely reflects an engineering view to social systems in a wide variety of contexts of application Social Systems Engineering: The Design of Complexity brings together a wide variety of application approaches to social systems from an engineering viewpoint. The book defines a social system as any complex system formed by human beings. Focus is given to the importance of systems intervention design for specific and singular settings, the possibilities of engineering thinking and methods, the use of computational models in particular contexts, and the development of portfolios of solutions. Furthermore, this book considers both technical, human and social perspectives, which are crucial to solving complex problems. Social Systems Engineering: The Design of Complexity provides modelling examples to explore the design aspect of social systems. Various applications are explored in a variety of areas, such as urban systems, health care systems, socio-economic systems, and environmental systems. It covers important topics such as organizational design, modelling and intervention in socio-economic systems, participatory and/or community-based modelling, application of systems engineering tools to social problems, applications of computational behavioral modeling, computational modelling and management of complexity, and more. Highlights an engineering view to social systems (as opposed to a “scientific” view) that stresses the importance of systems intervention design for specific and singular settings Divulges works where the design, re-design, and transformation of social systems constitute the main aim, and where joint considerations of both technical and social perspectives are deemed important in solving social problems Features an array of applied cases that illustrate the application of social systems engineering in different domains Social Systems Engineering: The Design of Complexity is an excellent text for academics and graduate students in engineering and social science—specifically, economists, political scientists, anthropologists, and management scientists with an interest in finding systematic ways to intervene and improve social systems.

Social-Behavioral Modeling for Complex Systems

Author : Paul K. Davis,Angela O'Mahony,Jonathan Pfautz
Publisher : John Wiley & Sons
Page : 992 pages
File Size : 55,8 Mb
Release : 2019-03-13
Category : Technology & Engineering
ISBN : 9781119484981

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Social-Behavioral Modeling for Complex Systems by Paul K. Davis,Angela O'Mahony,Jonathan Pfautz Pdf

This volume describes frontiers in social-behavioral modeling for contexts as diverse as national security, health, and on-line social gaming. Recent scientific and technological advances have created exciting opportunities for such improvements. However, the book also identifies crucial scientific, ethical, and cultural challenges to be met if social-behavioral modeling is to achieve its potential. Doing so will require new methods, data sources, and technology. The volume discusses these, including those needed to achieve and maintain high standards of ethics and privacy. The result should be a new generation of modeling that will advance science and, separately, aid decision-making on major social and security-related subjects despite the myriad uncertainties and complexities of social phenomena. Intended to be relatively comprehensive in scope, the volume balances theory-driven, data-driven, and hybrid approaches. The latter may be rapidly iterative, as when artificial-intelligence methods are coupled with theory-driven insights to build models that are sound, comprehensible and usable in new situations. With the intent of being a milestone document that sketches a research agenda for the next decade, the volume draws on the wisdom, ideas and suggestions of many noted researchers who draw in turn from anthropology, communications, complexity science, computer science, defense planning, economics, engineering, health systems, medicine, neuroscience, physics, political science, psychology, public policy and sociology. In brief, the volume discusses: Cutting-edge challenges and opportunities in modeling for social and behavioral science Special requirements for achieving high standards of privacy and ethics New approaches for developing theory while exploiting both empirical and computational data Issues of reproducibility, communication, explanation, and validation Special requirements for models intended to inform decision making about complex social systems

Science Dynamics and Research Production

Author : Nikolay K. Vitanov
Publisher : Springer
Page : 285 pages
File Size : 42,8 Mb
Release : 2016-08-01
Category : Mathematics
ISBN : 9783319416311

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Science Dynamics and Research Production by Nikolay K. Vitanov Pdf

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.