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Author: Joe Tranquillo
Publisher: Springer
ISBN: 3030025896
Category : Technology & Engineering
Languages : en
Pages : 405
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Book Description
This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections. “The text provides a useful overview of complex systems, with enough detail to allow a reader unfamiliar with the topic to understand the basics. The book stands out for its comprehensiveness and approachability. It will be particularly useful as a text for introductory physics courses. Tranquillo’s strength is in delivering a vast amount of information in a succinct manner.... A reader can find information quickly and efficiently—that is, in my opinion, the book’s greatest value.” (Stefani Crabtree, Physics Today)
Author: Joe Tranquillo
Publisher: Springer
ISBN: 3030025896
Category : Technology & Engineering
Languages : en
Pages : 405
Get Book Here
Book Description
This book explores the interdisciplinary field of complex systems theory. By the end of the book, readers will be able to understand terminology that is used in complex systems and how they are related to one another; see the patterns of complex systems in practical examples; map current topics, in a variety of fields, to complexity theory; and be able to read more advanced literature in the field. The book begins with basic systems concepts and moves on to how these simple rules can lead to complex behavior. The author then introduces non-linear systems, followed by pattern formation, and networks and information flow in systems. Later chapters cover the thermodynamics of complex systems, dynamical patterns that arise in networks, and how game theory can serve as a framework for decision making. The text is interspersed with both philosophical and quantitative arguments, and each chapter ends with questions and prompts that help readers make more connections. “The text provides a useful overview of complex systems, with enough detail to allow a reader unfamiliar with the topic to understand the basics. The book stands out for its comprehensiveness and approachability. It will be particularly useful as a text for introductory physics courses. Tranquillo’s strength is in delivering a vast amount of information in a succinct manner.... A reader can find information quickly and efficiently—that is, in my opinion, the book’s greatest value.” (Stefani Crabtree, Physics Today)
Author: James Ladyman
Publisher: Yale University Press
ISBN: 0300251106
Category : Computational complexity
Languages : en
Pages : 182
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Book Description
A clear, concise introduction to the quickly growing field of complexity science that explains its conceptual and mathematical foundations What is a complex system? Although "complexity science" is used to understand phenomena as diverse as the behavior of honeybees, the economic markets, the human brain, and the climate, there is no agreement about its foundations. In this introduction for students, academics, and general readers, philosopher of science James Ladyman and physicist Karoline Wiesner develop an account of complexity that brings the different concepts and mathematical measures applied to complex systems into a single framework. They introduce the different features of complex systems, discuss different conceptions of complexity, and develop their own account. They explain why complexity science is so important in today's world.
Author: Rosalind Armson
Publisher: Triarchy Press
ISBN: 1908009292
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
This book is about dealing with messes. Sometimes known as 'wicked problems', messes (or messy situations) are fairly easy to spot:it's hard to know where to startwe can't define them everything seems to connect to everything else and depends on something else having been done first we get in a muddle thinking about them we often try to ignore some aspect/s of themwhen we finally do something about them, they usually get worse they're so entangled that our first mistake is usually to try and fix them as we would fix a simple problem.
Author: G. Nicolis
Publisher: World Scientific
ISBN: 9812700439
Category : Mathematics
Languages : en
Pages : 343
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Book Description
Complexity is emerging as a post-Newtonian paradigm for approaching a large body of phenomena of concern at the crossroads of physical, engineering, environmental, life and human sciences from a unifying point of view. This book outlines the foundations of modern complexity research as it arose from the cross-fertilization of ideas and tools from nonlinear science, statistical physics and numerical simulation. It is shown how these developments lead to an understanding, both qualitative and quantitative, of the complex systems encountered in nature and in everyday experience and, conversely, how natural complexity acts as a source of inspiration for progress at the fundamental level.
Author: John H. Miller
Publisher: Basic Books
ISBN: 0465073867
Category : Science
Languages : en
Pages : 268
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Book Description
A top expert explains why a social and economic understanding of complex systems will help society to anticipate and confront our biggest challenges Imagine trying to understand a stained glass window by breaking it into pieces and examining it one shard at a time. While you could probably learn a lot about each piece, you would have no idea about what the entire picture looks like. This is reductionism -- the idea that to understand the world we only need to study its pieces -- and it is how most social scientists approach their work. In A Crude Look at the Whole, social scientist and economist John H. Miller shows why we need to start looking at whole pictures. For one thing, whether we are talking about stock markets, computer networks, or biological organisms, individual parts only make sense when we remember that they are part of larger wholes. And perhaps more importantly, those wholes can take on behaviors that are strikingly different from that of their pieces. Miller, a leading expert in the computational study of complex adaptive systems, reveals astounding global patterns linking the organization of otherwise radically different structures: It might seem crude, but a beehive's temperature control system can help predict market fluctuations and a mammal's heartbeat can help us understand the "heartbeat" of a city and adapt urban planning accordingly. From enduring racial segregation to sudden stock market disasters, once we start drawing links between complex systems, we can start solving what otherwise might be totally intractable problems. Thanks to this revolutionary perspective, we can finally transcend the limits of reductionism and discover crucial new ideas. Scientifically founded and beautifully written, A Crude Look at the Whole is a powerful exploration of the challenges that we face as a society. As it reveals, taking the crude look might be the only way to truly see.
Author: Yaneer Bar-yam
Publisher: CRC Press
ISBN: 0429717598
Category : Mathematics
Languages : en
Pages : 866
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Book Description
This book aims to develop models and modeling techniques that are useful when applied to all complex systems. It adopts both analytic tools and computer simulation. The book is intended for students and researchers with a variety of backgrounds.
Author: Philip Ball
Publisher: Springer Science & Business Media
ISBN: 3642290000
Category : Science
Languages : en
Pages : 71
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Book Description
Society is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents – people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks – society can be regarded as a complex system. In recent years, scientists have made great progress in understanding how such complex systems operate, ranging from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emerge spontaneously as a consequence of their interactions: they are said to be ‘self-organized’. Attempts to direct or manage such emergent properties generally reveal that ‘top-down’ approaches, which try to dictate a particular outcome, are ineffectual, and that what is needed instead is a ‘bottom-up’ approach that aims to guide self-organization towards desirable states. This book shows how some of these ideas from the science of complexity can be applied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and structure of cities. Building on these successes, the book argues that the complex-systems view of the social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimately predicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its interactions with the physical environment to be explored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions to major global problems such as conflict, disease, financial instability, environmental despoliation and poverty, while avoiding unintended policy consequences. It could give us the foresight to anticipate and ameliorate crises, and to begin tackling some of the most intractable problems of the twenty-first century.
Author: Karl J. Aström
Publisher: Springer Science & Business Media
ISBN: 1447103491
Category : Technology & Engineering
Languages : en
Pages : 485
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Book Description
The world of artificial systems is reaching complexity levels that es cape human understanding. Surface traffic, electricity distribution, air planes, mobile communications, etc. , are examples that demonstrate that we are running into problems that are beyond classical scientific or engi neering knowledge. There is an ongoing world-wide effort to understand these systems and develop models that can capture its behavior. The reason for this work is clear, if our lack of understanding deepens, we will lose our capability to control these systems and make they behave as we want. Researchers from many different fields are trying to understand and develop theories for complex man-made systems. This book presents re search from the perspective of control and systems theory. The book has grown out of activities in the research program Control of Complex Systems (COSY). The program has been sponsored by the Eu ropean Science Foundation (ESF) which for 25 years has been one of the leading players in stimulating scientific research. ESF is a European asso ciation of more than 60 leading national science agencies spanning more than 20 countries. ESF covers has standing committees in Medical Sci ences, Life and Environmental Sciences, Physical and Engineering Sci ences, Humanities and Social Sciences. The COSY program was ESF's first activity in the Engineering Sciences. The program run for a period of five years starting January 1995.
Author: Howard Eisner
Publisher: John Wiley & Sons
ISBN: 1118006690
Category : Technology & Engineering
Languages : en
Pages : 277
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Book Description
Nine innovative methods to think outside the box and solve complex system problems Managing Complex Systems provides specific tools and guidance needed to be a more creative and innovative thinker. Following the author's methodology, the reader will be better able to devise and implement nontraditional solutions to seemingly intractable complex problems. By challenging the reader to think in new and creative ways, the book offers a road map to success, whether measured in terms of competitive advantage, greater market share, improved productivity, or higher profits, all based upon better solutions to difficult problems. The first four chapters set the foundation for creative thinking by exploring the nature of large-scale systems and complexity, thinking inside and outside the box, and examples of how an inventive mind solves problems in both management and scientific domains. Subsequent chapters address nine focused methods that the author has formulated to help the reader think outside the box: * Broaden and generalize * Crossover * Question conventional wisdom * Back of the envelope * Expanding the dimensions * Obversity * Remove constraints * Thinking with pictures * Systems approach Real-life examples are provided for each method that demonstrate how the approach enhances problem solving and decision making in system development and management. Following the discussion of the nine methods, the author examines group decision making as well as additional creative thinking procedures devised by other researchers, including references that assist in exploring these methods in greater detail. The author ends with a wrap-up chapter that includes a test to help readers practice their tendencies toward creative thinking skills and action with respect to solving real-world problems. The nine methods discussed in this book have broad applicability and can be used successfully by managers with a wide range of responsibilities in business and technology. For anyone who is tired of the same old approach with the same old results, this book is essential reading.
Author: Brad Feld
Publisher: John Wiley & Sons
ISBN: 1119613620
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
The Way Forward for Entrepreneurship Around the World We are in the midst of a startup revolution. The growth and proliferation of innovation-driven startup activity is profound, unprecedented, and global in scope. Today, it is understood that communities of support and knowledge-sharing go along with other resources. The importance of collaboration and a long-term commitment has gained wider acceptance. These principles are adopted in many startup communities throughout the world. And yet, much more work is needed. Startup activity is highly concentrated in large cities. Governments and other actors such as large corporations and universities are not collaborating with each other nor with entrepreneurs as well as they could. Too often, these actors try to control activity or impose their view from the top-down, rather than supporting an environment that is led from the bottom-up. We continue to see a disconnect between an entrepreneurial mindset and that of many actors who wish to engage with and support entrepreneurship. There are structural reasons for this, but we can overcome many of these obstacles with appropriate focus and sustained practice. No one tells this story better than Brad Feld and Ian Hathaway. The Startup Community Way: Evolving an Entrepreneurial Ecosystem explores what makes startup communities thrive and how to improve collaboration in these rapidly evolving, complex environments. The Startup Community Way is an explanatory guide for startup communities. Rooted in the theory of complex systems, this book establishes the systemic properties of entrepreneurial ecosystems and explains why their complex nature leads people to make predictable mistakes. As complex systems, value creation occurs in startup communities primarily through the interaction of the "parts" - the people, organizations, resources, and conditions involved - not the parts themselves. This continual process of bottom-up interactions unfolds naturally, producing value in novel and unexpected ways. Through these complex, emergent processes, the whole becomes greater and substantially different than what the parts alone could produce. Because of this, participants must take a fundamentally different approach than is common in much of our civic and professional lives. Participants must take a whole-system view, rather than simply trying to optimize their individual part. They must prioritize experimentation and learning over planning and execution. Complex systems are uncertain and unpredictable. They cannot be controlled, only guided and influenced. Each startup community is unique. Replication is enticing but impossible. The race to become "The Next Silicon Valley" is futile - even Silicon Valley couldn't recreate itself. This book: Offers practical advice for entrepreneurs, community builders, government officials, and other stakeholders who want to harness the power of entrepreneurship in their city Describes the core components of startup communities and entrepreneurial ecosystems, as well as an explanation of the differences between these two related, but distinct concepts Advances a new framework for effective startup community building based on the theory of complex systems and insights from systems thinking Includes contributions from leading entrepreneurial voices Is a must-have resource for entrepreneurs, venture capitalists, executives, business and community leaders, economic development authorities, policymakers, university officials, and anyone wishing to understand how startup communities work anywhere in the world
