Complexity Theory And The Social Sciences PDF Download
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| Author | : David Byrne |
| Publisher | : Routledge |
| Total Pages | : 215 |
| Release | : 2002-01-04 |
| Genre | : Social Science |
| ISBN | : 1134714742 |
Download Complexity Theory and the Social Sciences Book in PDF, ePub and Kindle
Chaos and complexity are the new buzz words in both science and contemporary society. The ideas they represent have enormous implications for the way we understand and engage with the world. Complexity Theory and the Social Sciences introduces students to the central ideas which surround the chaos/complexity theories. It discusses key concepts before using them as a way of investigating the nature of social research. By applying them to such familiar topics as urban studies, education and health, David Byrne allows readers new to the subject to appreciate the contribution which complexity theory can make to social research and to illuminating the crucial social issues of our day.
| Author | : David Byrne |
| Publisher | : Routledge |
| Total Pages | : 343 |
| Release | : 2013-09-11 |
| Genre | : Social Science |
| ISBN | : 1134084986 |
Download Complexity Theory and the Social Sciences Book in PDF, ePub and Kindle
For the past two decades, ‘complexity’ has informed a range of work across the social sciences. There are diverse schools of complexity thinking, and authors have used these ideas in a multiplicity of ways, from health inequalities to the organization of large scale firms. Some understand complexity as emergence from the rule-based interactions of simple agents and explore it through agent-based modelling. Others argue against such ‘restricted complexity’ and for the development of case-based narratives deploying a much wider set of approaches and techniques. Major social theorists have been reinterpreted through a complexity lens and the whole methodological programme of the social sciences has been recast in complexity terms. In four parts, this book seeks to establish ‘the state of the art’ of complexity-informed social science as it stands now, examining: the key issues in complexity theory the implications of complexity theory for social theory the methodology and methods of complexity theory complexity within disciplines and fields. It also points ways forward towards a complexity-informed social science for the twenty-first century, investigating the argument for a post-disciplinary, ‘open’ social science. Byrne and Callaghan consider how this might be developed as a programme of teaching and research within social science. This book will be particularly relevant for, and interesting to, students and scholars of social research methods, social theory, business and organization studies, health, education, urban studies and development studies.
| Author | : Erçetin, ?efika ?ule |
| Publisher | : IGI Global |
| Total Pages | : 458 |
| Release | : 2016-04-21 |
| Genre | : Mathematics |
| ISBN | : 1522501495 |
Download Handbook of Research on Chaos and Complexity Theory in the Social Sciences Book in PDF, ePub and Kindle
The concept of “chaos”, and chaos theory, though it is a field of study specifically in the field of mathematics with applications in physics, engineering, economics, management, and education, has also recently taken root in the social sciences. As a method of analyzing the way in which the digital age has connected society more than ever, chaos and complexity theory serves as a tactic to tie world events and cope with the information overload that is associated with heightened social connectivity. The Handbook of Research on Chaos and Complexity Theory in the Social Sciences explores the theories of chaos and complexity as applied to a variety of disciplines including political science, organizational and management science, economics, and education. Presenting diverse research-based perspectives on mathematical patterns in the world system, this publication is an essential reference source for scholars, researchers, mathematicians, social theorists, and graduate-level students in a variety of disciplines.
| Author | : L. Douglas Kiel |
| Publisher | : |
| Total Pages | : 448 |
| Release | : 2021-06-22 |
| Genre | : |
| ISBN | : 9780472074884 |
Download Complex Systems in the Social and Behavioral Sciences Book in PDF, ePub and Kindle
Complexity systems are at the heart of behavior
| Author | : Paul A. Youngman |
| Publisher | : CRC Press |
| Total Pages | : 301 |
| Release | : 2014-05-22 |
| Genre | : Science |
| ISBN | : 9814463272 |
Download Complexity and the Human Experience Book in PDF, ePub and Kindle
Questions of values, ontologies, ethics, aesthetics, discourse, origins, language, literature, and meaning do not lend themselves readily, or traditionally, to equations, probabilities, and models. However, with the increased adoption of natural science tools in economics, anthropology, and political science-to name only a few social scientific fie
| Author | : Malcolm Williams |
| Publisher | : Routledge |
| Total Pages | : 263 |
| Release | : 2020-12-30 |
| Genre | : Social Science |
| ISBN | : 0429812876 |
Download Realism and Complexity in Social Science Book in PDF, ePub and Kindle
Realism and Complexity in Social Science is an argument for a new approach to investigating the social world, that of complex realism. Complex realism brings together a number of strands of thought, in scientific realism, complexity science, probability theory and social research methodology. It proposes that the reality of the social world is that it is probabilistic, yet there exists enough invariance to make the discovery and explanation of social objects and causal mechanisms possible. This forms the basis for the development of a complex realist foundation for social research, that utilises a number of new and novel approaches to investigation, alongside the more traditional corpus of quantitative and qualitative methods. Research examples are drawn from research in sociology, epidemiology, criminology, social policy and human geography. The book assumes no prior knowledge of realism, probability or complexity and in the early chapters, the reader is introduced to these concepts and the arguments against them. Although the book is grounded in philosophical reasoning, this is in a direct and accessible style that will appeal both to social researchers with a methodological interest and philosophers with an interest in social investigation.
| Author | : Göktuğ Morçöl |
| Publisher | : Routledge |
| Total Pages | : 314 |
| Release | : 2013-05-02 |
| Genre | : Political Science |
| ISBN | : 1136283463 |
Download A Complexity Theory for Public Policy Book in PDF, ePub and Kindle
Complexity theory has become popular in the natural and social sciences over the last few decades as a result of the advancements in our understanding of the complexities in natural and social phenomena. Concepts and methods of complexity theory have been applied by scholars of public affairs in North America and Europe, but a comprehensive framework for these applications is lacking. A Complexity Theory for Public Policy proposes a conceptual synthesis and sets a foundation for future developments and applications. In this book, Göktuğ Morçöl convincingly makes the case that complexity theory can help us understand better the self-organizational, emergent, and co-evolutionary characteristics of complex policy systems. In doing so, he discuss the epistemological implications of complexity theory and the methods complexity researchers use, and those methods they could use. As the complexity studies spread more around the world in the coming decades, the contents of this book will become appealing to larger audiences, particularly to scholars and graduate students in public affairs. The unique combination of synthesis and explanation of concepts and methods found in this book will serve as reference frames for future works.
| Author | : H.W. Gottinger |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 239 |
| Release | : 2012-12-06 |
| Genre | : Social Science |
| ISBN | : 9400970242 |
Download Coping with Complexity Book in PDF, ePub and Kindle
In this book I develop a theory of complexity for economics and manage ment sciences. This book is addressed to the mathematically or analytically oriented economist, psychologist or management scientist. It could also be of interest to engineers, computer scientists, biologists, physicists and ecologists who have a constant desire to go beyond the bounds of their respective disciplines. The unifying theme is: we live in a complex world, but how can we cope with complexity? If the book has made the reader curious, and if he looks at modelling, problem recognition and problem solving within his field of competence in a more "complex" way, it will have achieved its goal. The starting point is the recognition that complexity is a well-defined concept in mathematics (e.g. in topological dynamics), computer science, information theory and artificial intelligence. But it is a rather diffuse concept in other fields, sometimes it has only descriptive value or even worse, it is only used in a colloquial sense. The systematic investigation of complexity phenomena has reached a mature status within computer science. Indices of computer size, capacity and performance root ultimately in John von Neumann's paradigmatic model of a machine, though other 1 roots point to McCulloch and Pitts, not to forget Alan Turing. Offsprings of this development include: -complexity of formal systems and recursiveness; -cellular automata and the theory of self-reproducing machines; -theory of program or computational complexity; -theory of sequential machines; -problem solving, cognitive science, pattern recognition and decision processes.
| Author | : Ton Jörg |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 326 |
| Release | : 2011-08-09 |
| Genre | : Social Science |
| ISBN | : 9400713037 |
Download New Thinking in Complexity for the Social Sciences and Humanities Book in PDF, ePub and Kindle
The underlying idea and motive for the book is that the notion of complexity may humanize the social sciences, may conceive the complex human being as more human, and turn reality as assumed in our doing social science into a more complex, that is a richer reality for all. The main focus of this book is on new thinking in complexity, with complexity to be taken as derived from the Latin word complexus: ‘that which is interwoven.’ The trans-disciplinary approach advocated here will be trans-disciplinary in two ways: firstly, by going beyond the separate disciplines within the fields of both natural sciences and social sciences, and, secondly, by going beyond the separate cultures of the natural sciences and of the social sciences and humanities.
| Author | : Andrea Scharnhorst |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 292 |
| Release | : 2012-01-24 |
| Genre | : Social Science |
| ISBN | : 3642230687 |
Download Models of Science Dynamics Book in PDF, ePub and Kindle
Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.
