In Complexity and Postmodernism, Paul Cilliers explores the idea of complexity in the light of contemporary perspectives from philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory (like that of Derrida and Lyotard) into his discussion. Complexity and Postmodernism is an exciting and an original book that should be read by anyone interested in gaining a fresh understanding of complexity, postmodernism and connectionism.

Peter A. Coming Palo Alto, CA November, 2000 This volwne represents a distillation of the plenary sessions at a unique millenniwn year event -a World Congress of the Systems Sciences in conjunction with the 44th annual meeting of the International Society for the Systems Sciences (ISSS). The overall theme of the conference was "Understanding Complexity in the New Millenniwn. " Held at Ryerson Polytechnic University in Toronto, Canada, from July 16-22,2000, the conference included some 350 participants from over 30 countries, many of whom were representatives of the 21 organizations and groups that co-hosted this landmark event. Each of these co-host organizations/groups also presented a segment of the program, including a plenary speech. In addition, the conference featured a nwnber of distinguished "keynote" speeches related to the three daily World Congress themes: (1) The Evolution of Complex Systems, (2) The Dynamics of Complex Systems, and (3) Human Systems in the 21st Century. There were also seven special plenary-level symposia on a range of timely topics, including: "The Art and Science of Forecasting in the Age of Global Wanning"; "Capitalism in the New Millenniwn: The Challenge of Sustainability"; "The Future of the Systems Sciences"; "Global Issues in the New Millenniwn"; "Resources and the Environment in the New Millenniwn"; "The Lessons of Y2K"; and "Can There be a Reconciliation Between Science and Religion?" Included in this special commemorative volume is a cross-section of these presentations.

Michael Strevens shows how simplicity can co-exist with the tangled interconnections within complex systems. By looking at the foundations of statistical reasoning about complex systems (gases, ecosystems and even social systems) he provides an understanding of how simplicity emerges from complexity.

Teacher professionalism in changing times -- Professional identities : teaching as emotional work -- Commitment as a key to quality : variations in teachers' work and lives -- A capacity for resilience -- Teachers' professional learning and development : combining the functional and attitudinal -- Learning as a school-led social endeavour -- The importance of high quality leadership -- Understanding complexity, building quality

The complexity of living organisms surpasses our unaided habilities of analysis. Hence, computational and mathematical methods are necessary for increasing our understanding of biological systems. At the same time, there has been a phenomenal recent progress allowing the application of novel formal methods to new domains. This progress has spurred a conspicuous optimism in computational biology. This optimism, in turn, has promoted a rapid increase in collaboration between specialists of biology with specialists of computer science. Through sheer complexity, however, many important biological problems are at present intractable, and it is not clear whether we will ever be able to solve such problems. We are in the process of learning what kind of model and what kind of analysis and synthesis techniques to use for a particular problem. Some existing formalisms have been readily used in biological problems, others have been adapted to biological needs, and still others have been especially developed for biological systems. This Research Topic has examples of cases (1) employing existing methods, (2) adapting methods to biology, and (3) developing new methods. We can also see discrete and Boolean models, and the use of both simulators and model checkers. Synthesis is exemplified by manual and by machine-learning methods. We hope that the articles collected in this Research Topic will stimulate new research.

By now, most academics have heard something about the new science of complexity. In a manner reminiscent of Einstein and the last hundred years of physics, complexity science has captured the public imagination. ® One can go to Amazon. com and purchase books on complexification (Casti 1994), emergence (Holland 1998), small worlds (Barabási 2003), the web of life (Capra 1996), fuzzy thinking (Kosko 1993), global c- plexity (Urry 2003) and the business of long-tails (Anderson 2006). Even television has incorporated the topics of complexity science. Crime shows ® ® such as 24 or CSI typically feature investigators using the latest advances in computational modeling to “simulate scenarios” or “data mine” all p- sible suspects—all of which is done before the crime takes place. The ® World Wide Web is another example. A simple search on Google. Com using the phrase “complexity science” gets close to a million hits! C- plexity science is ubiquitous. What most scholars do not realize, however, is the remarkable role sociologists are playing in this new science. C- sider the following examples. 0. 1 Sociologists in Complexity Science The first example comes from the new science of networks (Barabási 2003). By now, most readers are familiar with the phenomena known as six-degrees of separation—the idea that, because most large networks are comprised of a significant number of non-random weak-ties, the nodes (e. g. , people, companies, etc.

Michael Batty offers a comprehensive view of urban dynamics in the context of complexity theory, presenting models that demonstrate how complexity theory can embrace a myriad of processes and elements that combine into organic wholes.

Organizations are complex entities that must adapt the practices of their employees and management to meet the demands of a dynamic environment. Organizations are behavioral systems that coordinate interactions among its members and environment. Changing practices in one area of an organization can generate a reaction throughout the entire system, thus affecting the behaviors of those working within other areas, the experience of customers, and important organizational results. Behavioral Systems Analysis (BSA) focuses on these complex contingencies from the macro system all the way down to individual behavior. This book contains articles by internationally recognized experts in Behavioral Systems Analysis who discuss the role of organizational practices in their study of performance improvement and cultural change from both practical and conceptual perspectives. Business and non-profit managers will find tools and case studies to help understand and diagnose their organization’s dynamics. Scholars will appreciate articles’ theory and real-world descriptions when considering their own research direction. Finally, all students of management theory, behavior analysis, and human resources will find this collection a thought-provoking tool for their understanding of behavioral systems and their application in organizations. This book was published as a special issue in the Journal of Organizational Behavior Management.

Organizations are complex entities that must adapt the practices of their employees and management to meet the demands of a dynamic environment. Organizations are behavioral systems that coordinate interactions among its members and environment. Changing practices in one area of an organization can generate a reaction throughout the entire system, thus affecting the behaviors of those working within other areas, the experience of customers, and important organizational results. Behavioral Systems Analysis (BSA) focuses on these complex contingencies from the macro system all the way down to individual behavior. This book contains articles by internationally recognized experts in Behavioral Systems Analysis who discuss the role of organizational practices in their study of performance improvement and cultural change from both practical and conceptual perspectives. Business and non-profit managers will find tools and case studies to help understand and diagnose their organization’s dynamics. Scholars will appreciate articles’ theory and real-world descriptions when considering their own research direction. Finally, all students of management theory, behavior analysis, and human resources will find this collection a thought-provoking tool for their understanding of behavioral systems and their application in organizations. This book was published as a special issue in the Journal of Organizational Behavior Management.

Emergence and complexity refer to the appearance of higher-level properties and behaviours of a system that obviously comes from the collective dynamics of that system's components. These properties are not directly deducible from the lower-level motion of that system. Emergent properties are properties of the "whole'' that are not possessed by any of the individual parts making up that whole. Such phenomena exist in various domains and can be described, using complexity concepts and thematic knowledges. This book highlights complexity modelling through dynamical or behavioral systems. The pluridisciplinary purposes, developed along the chapters, are able to design links between a wide-range of fundamental and applicative Sciences. Developing such links - instead of focusing on specific and narrow researches - is characteristic of the Science of Complexity that we try to promote by this contribution.