Signals and Boundaries

Building Blocks for Complex Adaptive Systems

Author: John H. Holland

Publisher: MIT Press

ISBN: 0262017830

Category: Computers

Page: 308

View: 7753

An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.
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Admired Disorder: A Guide to Building Innovation Ecosystems

Complex Systems, Innovation, Entrepreneurship, And Economic Development

Author: Alistair M. Brett

Publisher: BookBaby

ISBN: 1543966187

Category: Business & Economics

Page: 282

View: 4568

Innovation requires supportive innovation ecosystems. This book is about building innovation ecosystems and improving existing ones. These have the character of complex adaptive systems. Innovation ecosystems do not just happen; they need to be engineered. Cases and examples in the book of how to engineer innovation ecosystems illustrate widely applicable fundamentals. No previous knowledge of complexity is assumed.
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Understanding Complex Urban Systems

Integrating Multidisciplinary Data in Urban Models

Author: Christian Walloth,Ernst Gebetsroither-Geringer,Funda Atun,Liss C. Werner

Publisher: Springer

ISBN: 3319301780

Category: Technology & Engineering

Page: 136

View: 7092

This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers—including municipal politicians, spatial planners, and citizen groups—in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches—and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Agent-based Modeling; - The introduction of a participatory approach involving citizens, in order to utilize an Agent-based Modeling approach to simulate urban-growth scenarios; - A presentation of semantic modeling to enable a flexible application of modeling methods and a flexible exchange of data; - An article about a nested-systems approach to analyzing a city’s interdependent subsystems (according to these subsystems’ different velocities of change); - An article about methods that use Luhmann’s system theory to characterize cities as systems that are composed of flows; - An article that demonstrates how the Sen-Nussbaum Capabilities Approach can be used in urban systems to measure household well-being shifts that occur in response to the resettlement of urban households; - A final article that illustrates how Adaptive Cycles of Complex Adaptive Systems, as well as innovation, can be applied to gain a better understanding of cities and to promote more resilient and more sustainable urban futures.
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Adaptive Languages

An Information-Theoretic Account of Linguistic Diversity

Author: Christian Bentz

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110560100

Category: Language Arts & Disciplines

Page: 233

View: 9284

Languages carry information. To fulfil this purpose, they employ a multitude of coding strategies. This book explores a core property of linguistic coding – called lexical diversity. Parallel text corpora of overall more than 1800 texts written in more than 1200 languages are the basis for computational analyses. Different measures of lexical diversity are discussed and tested, and Shannon’s measure of uncertainty – the entropy – is chosen to assess differences in the distributions of words. To further explain this variation, a range of descriptive, explanatory, and grouping factors are considered in a series of statistical models. The first category includes writing systems, word-formation patterns, registers and styles. The second category includes population size, non-native speaker proportions and language status. Grouping factors further elicit whether the results extrapolate across – or are limited to – specific language families and areas. This account marries information-theoretic methods with a complex systems framework, illustrating how languages adapt to the varying needs of their users. It sheds light on the puzzling diversity of human languages in a quantitative, data driven and reproducible manner.
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Metasynthetic Computing and Engineering of Complex Systems

Author: Longbing Cao

Publisher: Springer

ISBN: 1447165519

Category: Computers

Page: 348

View: 6849

Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: • Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. • Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. • Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. • Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.
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Narrating Complexity

Author: Richard Walsh,Susan Stepney

Publisher: Springer

ISBN: 3319647148

Category: Computers

Page: N.A

View: 7425

This book stages a dialogue between international researchers from the broad fields of complexity science and narrative studies. It presents an edited collection of chapters on aspects of: how narrative theory from the humanities may be exploited to understand, explain, describe, and communicate aspects of complex systems, such as their emergent properties, feedbacks, and downwards causation; and how ideas from complexity science can inform narrative theory, and help explain, understand, and construct new, more complex models of narrative as a cognitive faculty and as a pervasive cultural form in new and old media. The book is suitable for academics, practitioners and professionals, and postgraduates in complex systems, narrative theory, literary and film studies, new media and game studies, and science communication.
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WACV Proceedings

Author: IEEE Computer Society. Technical Committee on Machine Intelligence and Pattern Analysis

Publisher: N.A

ISBN: 9780818664113

Category: Computer vision

Page: 298

View: 9876

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New Scientist

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Science

Page: N.A

View: 3628

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