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Complex adaptive system Second Edition.
This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
Explores a new approach to studying language as a complex adaptive system, illustrating its commonalities across many areas of language research Brings together a team of leading researchers in linguistics, psychology, and complex systems to discuss the groundbreaking significance of this perspective for their work Illustrates its application across a variety of subfields, including languages usage, language evolution, language structure, and first and second language acquisition "What a breath of fresh air! As interesting a collection of papers as you are likely to find on the evolution, learning, and use of language from the point of view of both cognitive underpinnings and communicative functions." Michael Tomasello, Max Planck Institute for Evolutionary Anthropology
Who sets the Complex adaptive system standards? What are your most important goals for the strategic Complex adaptive system objectives? What problems are you facing and how do you consider Complex adaptive system will circumvent those obstacles? Is Supporting Complex adaptive system documentation required? Who will provide the final approval of Complex adaptive system deliverables? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Complex adaptive system investments work better. This Complex adaptive system All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Complex adaptive system Self-Assessment. Featuring 632 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Complex adaptive system improvements can be made. In using the questions you will be better able to: - diagnose Complex adaptive system projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Complex adaptive system and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Complex adaptive system Scorecard, you will develop a clear picture of which Complex adaptive system areas need attention. Your purchase includes access details to the Complex adaptive system self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.
Since its publication, Complex Adaptive Leadership has become a Gower bestseller that has been taught in corporate leadership programmes, business schools and universities around the world to high acclaim. In this updated paperback edition, Nick Obolensky argues that leadership should not be something only exercised by nominated leaders. It is a complex dynamic process involving all those engaged in a particular enterprise. The theoretical background to this lies in complexity science and chaos theory - spoken and written about in the context of leadership for the last 20 years, but still little understood. We all seem intuitively to know leadership 'isn't what it used to be' but we still cling to old assumptions which look anachronistic in changing and challenging times. Nick Obolensky has practised, researched and taught leadership in the public, private and voluntary sectors. In this exciting book he brings together his knowledge of theory, his own experience, and the results of 19 years of research involving 2,500 executives in 40 countries around the world. The main conclusion from that research is that the more complex things become, the less traditional directive leadership is needed. Those operating in the real world, nonetheless, need ways of coping. The book is focused on helping practitioners struggling to interpret and react to increasingly VUCA (Volatile, Uncertain, Complex, Ambiguous) times. The book will particularly appeal to practitioners wishing to improve their leadership effectiveness as well as for students and researchers in the field of leadership.
A novel, integrated approach to understanding long-term human history, viewing it as the long-term evolution of human information-processing. This title is also available as Open Access.
Based upon a conference held in May 1993, this book discusses the intersection of neurobiology, cognitive psychology and computational approaches to cognition.
This graduate-level text focuses on the stability of adaptive systems, and offers a thorough understanding of the global stability properties essential to designing adaptive systems. Its self-contained, unified presentation of well-known results establishes the close connections between seemingly independent developments in the field. Prerequisites include a knowledge of linear algebra and differential equations, as well as a familiarity with basic concepts in linear systems theory. The first chapter sets the tone for the entire book, introducing basic concepts and tracing the evolution of the field from the 1960s through the 1980s. The first seven chapters are accessible to beginners, and the final four chapters are geared toward more advanced, research-oriented students. Problems ranging in complexity from relatively easy to quite difficult appear throughout the text. Topics include results in stability theory that emphasize incidents directly relevant to the study of adaptive systems; the stability properties of adaptive observers and controllers; the important concept of persistent excitation; the use of error models in systems analysis; areas of intense research activity; and five detailed case studies of systems in which adaptive control has proved successful
The emerging concepts of complexity, complex adaptive system (CAS) and resilience to forest ecology and management are linked in this new book. It explores how these concepts can be applied in various forest biomes of the world with their different ecological, economic and social settings, and history.