The Dynamics Of Social Systems

The central topic of this book is the mathematical analysis of social systems, understood in the following rather classical way: social systems consist of social actors who interact according to specific rules of interactions; the dynamics of social systems is then the consequences of these interactions, viz., the self-organization of social systems. According to particular demands of their environment, social systems are able to behave in an adaptive manner, that is they can change their rules of interaction by certain meta rules and thus generate a meta dynamics. It is possible to model and analyse mathematically both dynamics and meta dynamics, using cellular automata and genetic algorithms. These tools allow social systems theory to be carried through as precisely as the theories of natural systems, a feat that has not previously been possible. Readership: Researchers and graduate students in the fields of theoretical sociology and social and general systems theory and other interested scientists. No specialised knowledge of mathematics and/or computer science is required.

When I started with this book several years ago I originally intended to write an introduction to mathematical systems theory for social scientists. Yet the more I thought about systems theory on the one side and theoretical sociology on the other the more I became convinced that the classical mathematical tools are not very well suited for the problems of sociology. Then I became acquainted with the researches on complex systems by the Santa Fe Institute and in particular with cellular automata, Boolean networks and genetic algorithms. These mathematically very simple but extremely efficient tools are, in my opinion, very well appropriate for modeling social dynamics. Therefore I tried to reformulate several classical problems of theoretical sociology in terms of these formal systems and outline new possibilities for a mathematical sociology which is able to join immediately on the great traditions of theoretical sociology. The result is this book; whether I succeeded with it is of course up to the readers. As the readers will perceive, the book could not have been written by me alone but only by the joint labors of the computer group at the Interdisciplinary Center of Research in Higher Education at the University of Essen. The members of the group, Christina Stoica, Jom Schmidt and Ralph Kier, are named in several subchapters as co-authors. Yet even more important than their contributions to this book were the permanent discussions with them and their patience with my new and very speculative ideas. Many thanks.

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.

Community Based System Dynamics introduces researchers and practitioners to the design and application of participatory systems modeling with diverse communities. The book bridges community- based participatory research methods and rigorous computational modeling approaches to understanding communities as complex systems. It emphasizes the importance of community involvement both to understand the underlying system and to aid in implementation. Comprehensive in its scope, the volume includes topics that span the entire process of participatory systems modeling, from the initial engagement and conceptualization of community issues to model building, analysis, and project evaluation. Community Based System Dynamics is a highly valuable resource for anyone interested in helping to advance social justice using system dynamics, community involvement, and group model building, and helping to make communities a better place.

What are the fundamental elements of social systems, and how do these relate to social conflict and social change? These questions are central to all social theories from a marxist to the postmodern. The Dynamics of Social Systems reappraises the contribution of one key tradition - that of functionalism - to the analysis of social change. It also demonstrates the potential for applying neofunctionalist social theory to central issues of modern sociology, focusing in particular on race, gender and politics. Going beyond purely theoretical grounds, the book explores critical liberal arguments for redressing inequalities of gender and race within contemporary societies. It also addresses central issues in the politics of contemporary citizenship.

Constructal Theory of Social Dynamics brings together for the first time social scientists and engineers who present predictive theory of social organization, as a conglomerate of mating flows that morph in time to flow more easily. The book offers a new way to look at social phenomena as part of natural phenomena, and examines a new domain of application of engineering such as thermodynamic optimization, thermoeconomics and "design as science".

Social Synthesis argues the importance of an applied social science that appreciates social systems as manifestations of complex systems which are highly dynamic, interactive and emergent. Haynes proposes a new mixed method called Dynamic Pattern Synthesis (DPS) that can underpin an understanding of how complex systems adapt over time.

Everyday life is defined and characterised by the rise, transformation and fall of social practices. Using terminology that is both accessible and sophisticated, this essential book guides the reader through a multi-level analysis of this dynamic. In working through core propositions about social practices and how they change the book is clear and accessible; real world examples, including the history of car driving, the emergence of frozen food, and the fate of hula hooping, bring abstract concepts to life and firmly ground them in empirical case-studies and new research. Demonstrating the relevance of social theory for public policy problems, the authors show that the everyday is the basis of social transformation addressing questions such as: how do practices emerge, exist and die? what are the elements from which practices are made? how do practices recruit practitioners? how are elements, practices and the links between them generated, renewed and reproduced? Precise, relevant and persuasive this book will inspire students and researchers from across the social sciences. Elizabeth Shove is Professor of Sociology at Lancaster University. Mika Pantzar is Research Professor at the National Consumer Research Centre, Helsinki. Matt Watson is Lecturer in Social and Cultural Geography at University of Sheffield.

A multitude of complex systems and actors pursuing their own agenda shape the dynamics of our world. Better understanding of their actions and interactions is crucial, and can be achieved by a profound knowledge of systems and their properties, and their representation in models allowing simulation of probable behavior. Drawing on his extensive research and teaching experience in modeling and simulation of a wide range of systems - from engineering to social systems and ecosystems - the author presents the fundamental concepts and approaches for understanding and modeling the complex systems shaping the dynamics of our world. The book applies state space analysis and system dynamics to deal with the dynamic processes of "causal systems," discusses information processing approaches for modeling decision processes of "actors" and "agents," and uses aspects of the coevolutionary development of systems in their environment to deal with normative orientation, ethics, and evaluation of policies and long-term development. The concepts are applied in particular to the issue of sustainable development of human society in an evolving world. The book is complemented by a survey of system topics and of models from many fields, and by an extensive bibliography on the many systems-related subjects covered. Hartmut Bossel is Professor Emeritus of environmental systems analysis. He taught for many years at the University of California in Santa Barbara and the University of Kassel, Germany, where he was director of the Center for Environmental Systems Research until his retirement. He holds an engineering degree from the Technical University of Darmstadt, and a Ph.D. degree from the University of California at Berkeley. With a background in engineering, systems science, and mathematical modeling, he has led many research projects and future studies in different countries, developing computer simulation models and decision support systems in the areas of energy supply policy, global dynamics, orientation of behavior, agricultural policy, and forest dynamics and management. He has written numerous books on modeling and simulation of dynamic systems, social change and future paths, and has published widely in the scientific literature in several fields. Bossel is author of a System Zoo containing over one hundred simulation models of diverse systems.

Socioanalysis is the study of groups, organisations, and society using a systems psychoanalytic framework: looking beneath the surface (and the obvious) to see the underlying dynamics and how these dynamics are interconnected. This book examines several of the methodologies used in socioanalytic work. Even though the beginnings of socioanalytic investigation lay in the mid-twentieth century, a broad look across several methodologies has not been done before, despite separate publications dealing with particular methods. In addition, several new methods have been developed in recent years, which the present work incorporates. Connecting all these methods is their aim of 'tapping into' the dynamic operation of what the author calls 'the associative unconscious' within and between social systems. The associative unconscious is the unconscious at a systemic level. Each of the methods discussed in this book accesses the associative unconscious in different ways.