| complexity a guided tour: Complexity Melanie Mitchell, 2009-04-01 What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of neurons produce something as extraordinarily complex as consciousness? In this remarkably clear and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time. |
| complexity a guided tour: An Introduction to Genetic Algorithms Melanie Mitchell, 1998-03-02 Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation. |
| complexity a guided tour: Complexity Melanie Mitchell, 2009-05-28 This book provides an intimate, highly readable tour of the sciences of complexity, which seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. The author, a leading complex systems scientist, describes the history of ideas, current research, and future prospects in this vital scientific effort. |
| complexity a guided tour: Artificial Intelligence Melanie Mitchell, 2019-10-15 'After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable'' The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures. |
| complexity a guided tour: Complexity M. Mitchell Waldrop, 2019-10-01 “If you liked Chaos, you’ll love Complexity. Waldrop creates the most exciting intellectual adventure story of the year” (The Washington Post). In a rarified world of scientific research, a revolution has been brewing. Its activists are not anarchists, but rather Nobel Laureates in physics and economics and pony-tailed graduates, mathematicians, and computer scientists from all over the world. They have formed an iconoclastic think-tank and their radical idea is to create a new science: complexity. They want to know how a primordial soup of simple molecules managed to turn itself into the first living cell—and what the origin of life some four billion years ago can tell us about the process of technological innovation today. This book is their story—the story of how they have tried to forge what they like to call the science of the twenty-first century. “Lucidly shows physicists, biologists, computer scientists and economists swapping metaphors and reveling in the sense that epochal discoveries are just around the corner . . . [Waldrop] has a special talent for relaying the exhilaration of moments of intellectual insight.” —The New York Times Book Review “Where I enjoyed the book was when it dove into the actual question of complexity, talking about complex systems in economics, biology, genetics, computer modeling, and so on. Snippets of rare beauty here and there almost took your breath away.” —Medium “[Waldrop] provides a good grounding of what may indeed be the first flowering of a new science.” —Publishers Weekly |
| complexity a guided tour: Simply Complexity Neil Johnson, 2009-10-01 The new branch of science which will reveal how to avoid the rush hour, overcome cancer, and find the perfect date What do traffic jams, stock market crashes, and wars have in common? They are all explained using complexity, an unsolved puzzle that many researchers believe is the key to predicting - and ultimately solving - everything from terrorist attacks and pandemic viruses right down to rush hour traffic congestion. Complexity is considered by many to be the single most important scientific development since general relativity and promises to make sense of no less than the very heart of the Universe. Using it, scientists can find order emerging from seemingly random interactions of all kinds, from something as simple as flipping coins through to more challenging problems such as predicting shopping habits, the patterns in modern jazz, and the growth of cancer tumours. |
| complexity a guided tour: What Is a Complex System? James Ladyman, Karoline Wiesner, 2020-08-05 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. |
| complexity a guided tour: Complexity Melanie Mitchell (Computer scientist), This text provides an intimate, highly readable tour of the sciences of complexity, which seek to explain how large-scale complex, organized, and adaptive behaviour can emerge from simple interactions among myriad individuals. |
| complexity a guided tour: Complexity Nicholas Rescher, 1998 This volume explores the nature of complexity and considers its bearing on our world and how we manage our affairs within it. Rescher's overall lesson is that the management of our affairs within a socially, technologically, and cognitively complex environment is plagued with vast management problems and risks of mishap. Although Rescher offers a sobering outlook, he also believes that complexity entails mixed blessings: our imperfect knowledge provides a rationale for putting forth our best efforts. This volume will be of interest to those interested in philosophy, the philosophy of science, science policy studies, and future studies. --Book Jacket. |
| complexity a guided tour: Computational Complexity Sanjeev Arora, Boaz Barak, 2009-04-20 New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students. |
| complexity a guided tour: Simplifying Complexity: Life is Uncertain, Unfair and Unequal Bruce J. West, 2016-08-03 In life, we often face unavoidable complexities in terms of our ability to understand or influence outcomes. Some questions which arise due to these complexities are: Why can’t the future be made certain? Why do the some people or events always end up at the center of controversy? Why do only a select few get ahead of their peers? Each question pertains to three central elements of complexities and these elements are: uncertainty, inequality and unfairness. Simplifying Complexity explains the scientific study of complex cognitive networks, as well as the methods scientists use to parse difficult problems into manageable pieces. Readers are introduced to scientific methodology and thought processes, followed by a discourse on perspectives on the three elements of complexity through concepts such as normal and non-normal statistics, scaling and complexity management. Simplifying Complexity combines basic cognitive science and scientific philosophy for both advanced students (in the fields of sociology, cognitive science, complex networks and change management) and for general readers looking for a more scientific guide to understanding and managing the nature of change in a complex world. |
| complexity a guided tour: Think Complexity Allen B. Downey, 2012-02-23 Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers |
| complexity a guided tour: Complexity John Henry Holland, 2014 In this very short introduction, John Holland presents an introduction to the science of complexity. Using examples from biology and economics, he shows how complexity science models the behaviour of complex systems. |
| complexity a guided tour: A Crude Look at the Whole John H. Miller, 2016-01-05 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. |
| complexity a guided tour: Hidden Order John Henry Holland, 1995-08-21 Basic elements - Adaptive agents - Echoing emergence - Simulating echo - Toward theory. |
| complexity a guided tour: Deep Simplicity John Gribbin, 2009-08-27 'Gribbin takes us through the basics with his customary talent for accessibility and clarity' Sunday Times The world around us can be a complex, confusing place. Earthquakes happen without warning, stock markets fluctuate, weather forecasters seldom seem to get it right - even other people continue to baffle us. How do we make sense of it all? In fact, John Gribbin reveals, our seemingly random universe is actually built on simple laws of cause and effect that can explain why, for example, just one vehicle braking can cause a traffic jam; why wild storms result from a slight atmospheric change; even how we evolved from the most basic materials. Like a zen painting, a fractal image or the pattern on a butterfly's wings, simple elements form the bedrock of a sophisticated whole. Synthesizing chaos and complexity theory for the perplexed, Deep Simplicity brilliantly illuminates the harmony underlying our existence. |
| complexity a guided tour: Fluid Concepts and Creative Analogies Douglas R. Hofstadter, 1998 Hosftadter and his colleagues at The Fluid Analogies Research Group have developed computer models that help describe and explain human discovery, creation and analogical thought. The key issue of perception is investigated through the exploration of playful anagrams, number puzzles, word play and fanciful alphabetical styles, and the result is a survey of cognitive processes. This text presents the results. |
| complexity a guided tour: Navigating Complexity Arthur Battram, 1999 A powerful guide to thinking and managing your way into the new economy. A how to think book for practicing managers. |
| complexity a guided tour: Complexity and Postmodernism Paul Cilliers, 2002-09-11 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. |
| complexity a guided tour: Diversity and Complexity Scott E. Page, 2010-11-08 This book provides an introduction to the role of diversity in complex adaptive systems. A complex system--such as an economy or a tropical ecosystem--consists of interacting adaptive entities that produce dynamic patterns and structures. Diversity plays a different role in a complex system than it does in an equilibrium system, where it often merely produces variation around the mean for performance measures. In complex adaptive systems, diversity makes fundamental contributions to system performance. Scott Page gives a concise primer on how diversity happens, how it is maintained, and how it affects complex systems. He explains how diversity underpins system level robustness, allowing for multiple responses to external shocks and internal adaptations; how it provides the seeds for large events by creating outliers that fuel tipping points; and how it drives novelty and innovation. Page looks at the different kinds of diversity--variations within and across types, and distinct community compositions and interaction structures--and covers the evolution of diversity within complex systems and the factors that determine the amount of maintained diversity within a system. Provides a concise and accessible introduction Shows how diversity underpins robustness and fuels tipping points Covers all types of diversity The essential primer on diversity in complex adaptive systems |
| complexity a guided tour: The Engine of Complexity John E. Mayfield, 2013-07-09 The concepts of evolution and complexity theory have become part of the intellectual ether permeating the life sciences, the social and behavioral sciences, and, more recently, management science and economics. In this book, John E. Mayfield elegantly synthesizes core concepts from multiple disciplines to offer a new approach to understanding how evolution works and how complex organisms, structures, organizations, and social orders can and do arise based on information theory and computational science. Intended for the intellectually adventuresome, this book challenges and rewards readers with a nuanced understanding of evolution and complexity that offers consistent, durable, and coherent explanations for major aspects of our life experiences. Numerous examples throughout the book illustrate evolution and complexity formation in action and highlight the core function of computation lying at the work's heart. |
| complexity a guided tour: Thinking about Gdel and Turing Gregory J. Chaitin, 2007 Dr Gregory Chaitin, one of the world's leading mathematicians, is best known for his discovery of the remarkable ê number, a concrete example of irreducible complexity in pure mathematics which shows that mathematics is infinitely complex. In this volume, Chaitin discusses the evolution of these ideas, tracing them back to Leibniz and Borel as well as Gdel and Turing.This book contains 23 non-technical papers by Chaitin, his favorite tutorial and survey papers, including Chaitin's three Scientific American articles. These essays summarize a lifetime effort to use the notion of program-size complexity or algorithmic information content in order to shed further light on the fundamental work of Gdel and Turing on the limits of mathematical methods, both in logic and in computation. Chaitin argues here that his information-theoretic approach to metamathematics suggests a quasi-empirical view of mathematics that emphasizes the similarities rather than the differences between mathematics and physics. He also develops his own brand of digital philosophy, which views the entire universe as a giant computation, and speculates that perhaps everything is discrete software, everything is 0's and 1's.Chaitin's fundamental mathematical work will be of interest to philosophers concerned with the limits of knowledge and to physicists interested in the nature of complexity. |
| complexity a guided tour: Rethinking Causality, Complexity and Evidence for the Unique Patient Rani Lill Anjum, Samantha Copeland, Elena Rocca, 2020-06-02 This open access book is a unique resource for health professionals who are interested in understanding the philosophical foundations of their daily practice. It provides tools for untangling the motivations and rationality behind the way medicine and healthcare is studied, evaluated and practiced. In particular, it illustrates the impact that thinking about causation, complexity and evidence has on the clinical encounter. The book shows how medicine is grounded in philosophical assumptions that could at least be challenged. By engaging with ideas that have shaped the medical profession, clinicians are empowered to actively take part in setting the premises for their own practice and knowledge development. Written in an engaging and accessible style, with contributions from experienced clinicians, this book presents a new philosophical framework that takes causal complexity, individual variation and medical uniqueness as default expectations for health and illness. |
| complexity a guided tour: Interpretable Machine Learning Christoph Molnar, 2020 This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project. |
| complexity a guided tour: Structural Information and Communication Complexity Tomasz Jurdziński, Stefan Schmid, 2021-06-19 This book constitutes the refereed conference proceedings of the 28th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2021, held in Wrocław, Poland, in June 2021. Due to COVID-19, the conference will be held online. The 20 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers are solicited from all areas of study of local structural knowledge and global communication and computational complexities. Among the typical areas are distributed computing, communication networks, game theory, parallel computing, social networks, mobile computing |
| complexity a guided tour: Brian Eno: Visual Music Christopher Scoates, 2013-09-24 This comprehensive monograph celebrates the visual art of renowned musician Brian Eno. Spanning more than 40 years, Brian Eno: Visual Music weaves a dialogue between Eno's museum and gallery installations and his musical endeavors—all illustrated with never-before-published archival materials such as sketchbook pages, installation views, screenshots, and more. Steve Dietz, Brian Dillon, Roy Ascott, and William R. Wright contextualize Eno's contribution to new media art, while Eno himself shares insights into his process. Also included is a download code for a previously unreleased piece of music created by Eno, making this ebook a requisite for fans and collectors. |
| complexity a guided tour: Complex Adaptive Systems John H. Miller, Scott E. Page, 2009-11-28 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. |
| complexity a guided tour: Brown Melanie S. Mitchell, 2003-09-01 Introduces the color brown with familiar objects that are brown. |
| complexity a guided tour: Building a Second Brain Tiago Forte, 2022-06-14 Building a second brain is getting things done for the digital age. It's a ... productivity method for consuming, synthesizing, and remembering the vast amount of information we take in, allowing us to become more effective and creative and harness the unprecedented amount of technology we have at our disposal-- |
| complexity a guided tour: Critical Complexity Paul Cilliers, 2016 The publications in this series deal with current topics in the fields of philosophy, natural science, cognitive science, and mathematics. They are particularly interested in investigating the multiple ways in which the nature of these fields has changed over the centuries, leaving the conceptual framework inaugurated by Galilei and Descartes. |
| complexity a guided tour: Complexity in Education Cok Bakker, Nicolina Montesano Montessori, 2017-01-12 This volume, the result of four years of work performed by the combined research groups of Utrecht University (Faculty of Humanities) and the HU Utrecht University of Applied Sciences (Faculty of Education), focuses on the central theme of ‘Normative Professionalization’. Drawing on a wide variety of scholars including Hannah Arendt, Gert Biesta, Harry Kunneman, Donald Schön and Chris Argyris, and engaging with professionalism, ethics, virtue and morality, this book builds the argument that learning to deal with complexity supports not only education but the personal development of teachers and the improvement of society and democracy as well. This volume presents research on a broad range of topics such as worldview education, co-teaching, moral authorship, traditional-reform perspectives on education, the discourse on citizenship, teacher education, and the question how to link religion and education. The research chapters explain the theoretical lenses and methodological approaches which have been employed to get a grip on complexity. The results have been interpreted in light of the concepts of horror complexitatis, amor complexitatis and dolor complexitatis. Guided by detailed research accounts of worldview descriptions provided by students and teachers, this framework has been enriched with the notion of a passio complexitatis. In the concluding chapters, the book advocates for an improved balance between the normative and instrumental professionalization of teachers, in order to create space for the improvement of pedagogical relations and processes and to reintroduce the moral dimensions of education. The claim throughout this book is that allowing for complexity in education – even going so far as to embrace it – is vital for the improvement of education, and a prerequisite for more authentic relationships (on the micro level) and the maintenance of a well-functioning democracy and a balanced society (on the macro level). This book is of interest to researchers and educators who are interested in normative professionalization, to qualitative and practice oriented researchers, to teachers and managers in primary, secondary and professional education, and to the wider public which is concerned with the significance of education for the development of a stable and sustainable society. |
| complexity a guided tour: Strategy Safari Henry Mintzberg, Bruce W. Ahlstrand, Bruce Ahlstrand, Joseph Lampel, 2005-06-06 This indispensable guide for the creative manager takes readers on a powerful, comprehensive, and illuminating tour through the fields of strategic management. The result is a brilliant, penetrating primer on business strategy that is, at the same time, immensely readable and fun. |
| complexity a guided tour: A Guided Tour of the Living Cell Christian De Duve, 1984 |
| complexity a guided tour: Wicked Strategies John C. Camillus, 2016-01-01 Wicked Strategies offers a comprehensive framework for identifying, responding to and profiting from wicked problems. |
| complexity a guided tour: Complexity and the Art of Public Policy David Colander, Roland Kupers, 2016-02-16 How ideas in complexity can be used to develop more effective public policy Complexity science—made possible by modern analytical and computational advances—is changing the way we think about social systems and social theory. Unfortunately, economists' policy models have not kept up and are stuck in either a market fundamentalist or government control narrative. While these standard narratives are useful in some cases, they are damaging in others, directing thinking away from creative, innovative policy solutions. Complexity and the Art of Public Policy outlines a new, more flexible policy narrative, which envisions society as a complex evolving system that is uncontrollable but can be influenced. David Colander and Roland Kupers describe how economists and society became locked into the current policy framework, and lay out fresh alternatives for framing policy questions. Offering original solutions to stubborn problems, the complexity narrative builds on broader philosophical traditions, such as those in the work of John Stuart Mill, to suggest initiatives that the authors call activist laissez-faire policies. Colander and Kupers develop innovative bottom-up solutions that, through new institutional structures such as for-benefit corporations, channel individuals’ social instincts into solving societal problems, making profits a tool for change rather than a goal. They argue that a central role for government in this complexity framework is to foster an ecostructure within which diverse forms of social entrepreneurship can emerge and blossom. |
| complexity a guided tour: Complexity Roger Lewin, 2001 Complexity is the unifying theory of biological and physical phenomena. It holds that at the root of all complex systems lie a few simple rules, taking the notion of chaos (which states that within seemingly chaotic systems are elements of order) a step further by actually identifying these rules. The author sees it as the dominant scientific trend of the 1990s, as scientists from many disciplines come together and begin to discover the underlying similarities in their fields. |
| complexity a guided tour: Scale Geoffrey West, 2018-05-15 This is science writing as wonder and as inspiration. —The Wall Street Journal Wall Street Journal From one of the most influential scientists of our time, a dazzling exploration of the hidden laws that govern the life cycle of everything from plants and animals to the cities we live in. Visionary physicist Geoffrey West is a pioneer in the field of complexity science, the science of emergent systems and networks. The term “complexity” can be misleading, however, because what makes West’s discoveries so beautiful is that he has found an underlying simplicity that unites the seemingly complex and diverse phenomena of living systems, including our bodies, our cities and our businesses. Fascinated by aging and mortality, West applied the rigor of a physicist to the biological question of why we live as long as we do and no longer. The result was astonishing, and changed science: West found that despite the riotous diversity in mammals, they are all, to a large degree, scaled versions of each other. If you know the size of a mammal, you can use scaling laws to learn everything from how much food it eats per day, what its heart-rate is, how long it will take to mature, its lifespan, and so on. Furthermore, the efficiency of the mammal’s circulatory systems scales up precisely based on weight: if you compare a mouse, a human and an elephant on a logarithmic graph, you find with every doubling of average weight, a species gets 25% more efficient—and lives 25% longer. Fundamentally, he has proven, the issue has to do with the fractal geometry of the networks that supply energy and remove waste from the organism’s body. West’s work has been game-changing for biologists, but then he made the even bolder move of exploring his work’s applicability. Cities, too, are constellations of networks and laws of scalability relate with eerie precision to them. Recently, West has applied his revolutionary work to the business world. This investigation has led to powerful insights into why some companies thrive while others fail. The implications of these discoveries are far-reaching, and are just beginning to be explored. Scale is a thrilling scientific adventure story about the elemental natural laws that bind us together in simple but profound ways. Through the brilliant mind of Geoffrey West, we can envision how cities, companies and biological life alike are dancing to the same simple, powerful tune. |
| complexity a guided tour: Text Complexity Douglas Fisher, Nancy Frey, Diane Lapp, 2016-01-28 There is a big difference between assigning complex texts and teaching complex texts No matter what discipline you teach, learn how to use complexity as a dynamic, powerful tool for sliding the right text in front of your students’ at just the right time. Updates to this new edition include How-to’s for measuring countable features of any written work A rubric for analyzing the complexity of both literary and informational texts Classroom scenarios that show the difference between a healthy struggle and frustration The authors’ latest thinking on teacher modeling, close reading, scaffolded small group reading, and independent reading |
| complexity a guided tour: A Citizen's Guide to Ecology Lawrence B. Slobodkin, 2003-05-15 The earth is continuously changing and evolving yet it is unclear how environmental changes will affect us in years to come. What changes are inevitable? What changes, if any, are beneficial? And what can we do as citizens of this planet to protect it and our future generations? Larry Slobodkin, one of the leading pioneers of modern ecology, offers compelling answers to these questions in A Citizen's Guide to Ecology. He provides many insights into ecology and the processes that keep the world functioning. This important guide introduces observations that underlie arguments about all aspects of the natural environment--including both global and local issues. To clarify difficult concepts, Slobodkin uses lake, ocean, and terrestrial ecosystems to explain ecological energy flows and relationships on a global scale. The book presents a clear and current understanding of the ecological world, and how individual citizens can participate in practical decisions on ecological issues. It tackles such issues as global warming, ecology and health, organic farming, species extinction and adaptation, and endangered species. An excellent introduction and overview, A Citizen's Guide to Ecology helps us to understand what steps we as humans can take to keep our planet habitable for generations to come. This beautifully written book brings together careful observation, personal reflection, and theoretical understanding to explain the major environmental problems that confront us. Dr. Slobodkin's superb and sweeping work invites us to contemplate a great many facts and a few large values to motivate a clear and compelling response to losses of biodiversity, the problem of invasive species, global warming, and other environmental concerns.--Mark Sagoff, School of Public Affairs, University of Maryland |
| complexity a guided tour: The Collapse of Chaos Ian Stewart, Jack Cohen, 2000-03-02 Do we live in a simple or a complex universe? Jack Cohen and Ian Stewart explore the ability of complicated rules to generate simple behaviour in nature through 'the collapse of chaos'. 'The most startling, thought-provoking book I've read all year. I was pleased to learn that most of the things I thought I knew were wrong' -- Terry Pratchett |
COMPLEXITY Definition & Meaning - Merriam-Webster
The meaning of COMPLEXITY is something complex. How to use complexity in a sentence.
Complexity - Wikipedia
Complexity characterizes the behavior of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity, randomness, collective dynamics, …
COMPLEXITY | English meaning - Cambridge Dictionary
COMPLEXITY definition: 1. the state of having many parts and being difficult to understand or find an answer to: 2. the…. Learn more.
COMPLEXITY definition and meaning | Collins English Dictionary
Complexity is the state of having many different parts connected or related to each other in a complicated way.
COMPLEXITY Definition & Meaning - Dictionary.com
the state or quality of being complex; intricacy. the complexity of urban life. something complex. the complexities of foreign policy. Examples have not been reviewed. The new curfew …
What does complexity mean? - Definitions.net
Complexity refers to the number of elements, components, attributes or characteristics within a system, situation, problem or phenomenon, as well as the intricacies of their interaction and …
complexity noun - Definition, pictures, pronunciation and ...
Definition of complexity noun from the Oxford Advanced Learner's Dictionary. [uncountable] the state of being formed of many parts; the state of being difficult to understand. I was astonished …
COMPLEXITY Definition & Meaning - Merriam-Webster
The meaning of COMPLEXITY is something complex. How to use complexity in a sentence.
Complexity - Wikipedia
Complexity characterizes the behavior of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity, randomness, collective dynamics, …
COMPLEXITY | English meaning - Cambridge Dictionary
COMPLEXITY definition: 1. the state of having many parts and being difficult to understand or find an answer to: 2. the…. Learn more.
COMPLEXITY definition and meaning | Collins English Dictionary
Complexity is the state of having many different parts connected or related to each other in a complicated way.
COMPLEXITY Definition & Meaning - Dictionary.com
the state or quality of being complex; intricacy. the complexity of urban life. something complex. the complexities of foreign policy. Examples have not been reviewed. The new curfew …
What does complexity mean? - Definitions.net
Complexity refers to the number of elements, components, attributes or characteristics within a system, situation, problem or phenomenon, as well as the intricacies of their interaction and …
complexity noun - Definition, pictures, pronunciation and ...
Definition of complexity noun from the Oxford Advanced Learner's Dictionary. [uncountable] the state of being formed of many parts; the state of being difficult to understand. I was astonished …
