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'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.
This collection interrogates the concept of complex TV, and reappraises the value of simplicity in TV, with reference to a range of television programming, including episodic series and serial dramas, sitcoms, science-fiction, animation, horror, thrillers and period dramas.
"If it were necessary, for some curious legal reason, to draw a clear line between human and nonhuman--for example, if a group of australopithecines were to appear and one had to decide if they were to be protected by Fair Employment Laws or by the ASPCA--I would welcome them as humans if I knew that they were seriously concerned about how to bury their dead." In this witty and wise way, Lawrence Slobodkin takes us on a spirited quest for the multiple meanings of simplicity in all facets of life. Slobodkin begins at the beginning, with a consideration of how simplicity came into play in the development of religious doctrines. He nimbly moves on to the arts--where he ranges freely from dining to painting--and then focuses more sharply on the role of simplicity in science. Here we witness the historical beginnings of modern science as a search for the fewest number of terms, the smallest number of assumptions, or the lowest exponents, while still meeting criteria for descriptive accuracy. The result may be an elegant hypothetical system that generates the apparent world from less apparent assumptions, as with the Newtonian revolution; or it may mean deducing non-obvious processes from everyday facts, as with the Darwinian revolution. Slobodkin proposes that the best intellectual work is done as if it were a game on a simplified playing field. He supplies serious arguments for considering the role of simplification and playfulness in all of our activities. The immediate effect of his unfailingly captivating essay is to throw open a new window on the world and to refresh our perspectives on matters of the heart and mind.
How do scientists model crowd behaviour, epidemics, earthquakes or the internet? What can we learn from the collective intelligence and adaptability of an ant colony? This book answers such questions by highlighting common themes in the study of complex systems. Topics covered include self-organisation, emergence, agent-based simulations, complex networks, phase plane plots, fractals, chaos, measures of complexity, model building, and the scientific method. Explanations are simple and concise, with common misconceptions clarified. Numerous exercises help enthusiasts consolidate their understanding through peer learning. Supplementary resources are at the companion websites www.simplicitysg.net/books and www.facebook.com/simcomty.
For decades, Alan Siegel and Irene Etzkorn have championed simplicity as a competitive advantage and a consumer right. Consulting with businesses and organizations around the world to streamline products, services, processes and communications, they have achieved dramatic results. In Simple, the culmination of their work together, Siegel and Etzkorn show us how having empathy, striving for clarity, and distilling your message can reduce the distance between company and customer, hospital and patient, government and citizen-and increase your bottom line. Examining the best and worst practices of an array of organizations big and small-including the IRS, Google, Philips, Trader Joe's, Chubb Insurance, and ING Direct, and many more-Siegel and Etzkorn recast simplicity as a mindset, a design aesthetic, and a writing technique. In these illuminating pages you will discover, among other things: Why the Flip camera became roadkill in the wake of the iPhone What SIMPLE idea allowed the Cleveland Clinic to improve care and increase revenue How OXO designed a measuring cup that sold a million units in its first 18 months on the market Where Target got the idea for their "ClearRX" prescription system How New York City simplified its unwieldy bureaucracy with three simple numbers By exposing the overly complex things we encounter every day, SIMPLE reveals the reasons we allow confusion to persist, inspires us to seek clarity, and explores how social media is empowering consumers to demand simplicity. The next big idea in business is Simple.
Distributed across servers, difficult to test, and resistant to modification--modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they''re easier to test and debug. Available in PDF (ePub, kindle, and liveBook formats coming soon). about the technology Even experienced developers struggle with software systems that sprawl across distributed servers and APIs, are filled with redundant code, and are difficult to reliably test and modify. Adopting ways of thinking derived from functional programming can help you design and refactor your codebase in ways that reduce complexity, rather than encouraging it. Grokking Simplicity lays out how to use functional programming in a professional environment to write a codebase that''s easier to test and reuse, has fewer bugs, and is better at handling the asynchronous nature of distributed systems. about the book In Grokking Simplicity, you''ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional programmer Eric Normand guides you to a crystal-clear understanding of why certain features of modern software are so prone to complexity and introduces you to the functional techniques you can use to simplify these systems so that they''re easier to read, test, and debug. Through hands-on examples, exercises, and numerous self-assessments, you''ll learn to organize your code for maximum reusability and internalize methods to keep unwanted complexity out of your codebase. Regardless of the language you''re using, the ways of thinking in this book will help recognize problematic code and tame even the most complex software. what''s inside Apply functional programming principles to reduce codebase complexity Work with data transformation pipelines for code that''s easier to test and reuse Tools for modeling time to simplify asynchrony 60 exercises and 100 questions to test your knowledge about the reader For experienced programmers. Examples are in JavaScript. about the author Eric Normand has been a functional programmer since 2001 and has been teaching functional programming online and in person since 2007. Visit LispCast.com to see more of his credentials.
Ten laws of simplicity for business, technology, and design that teach us how to need less but get more. Finally, we are learning that simplicity equals sanity. We're rebelling against technology that's too complicated, DVD players with too many menus, and software accompanied by 75-megabyte "read me" manuals. The iPod's clean gadgetry has made simplicity hip. But sometimes we find ourselves caught up in the simplicity paradox: we want something that's simple and easy to use, but also does all the complex things we might ever want it to do. In The Laws of Simplicity, John Maeda offers ten laws for balancing simplicity and complexity in business, technology, and design—guidelines for needing less and actually getting more. Maeda—a professor in MIT's Media Lab and a world-renowned graphic designer—explores the question of how we can redefine the notion of "improved" so that it doesn't always mean something more, something added on. Maeda's first law of simplicity is "Reduce." It's not necessarily beneficial to add technology features just because we can. And the features that we do have must be organized (Law 2) in a sensible hierarchy so users aren't distracted by features and functions they don't need. But simplicity is not less just for the sake of less. Skip ahead to Law 9: "Failure: Accept the fact that some things can never be made simple." Maeda's concise guide to simplicity in the digital age shows us how this idea can be a cornerstone of organizations and their products—how it can drive both business and technology. We can learn to simplify without sacrificing comfort and meaning, and we can achieve the balance described in Law 10. This law, which Maeda calls "The One," tells us: "Simplicity is about subtracting the obvious, and adding the meaningful."
Several points of disagreement exist between different modelling traditions as to whether complex models are always better than simpler models, as to how to combine results from different models and how to propagate model uncertainty into forecasts. This book represents the result of collaboration between scientists from many disciplines to show how these conflicts can be resolved. Key Features: Introduces important concepts in modelling, outlining different traditions in the use of simple and complex modelling in statistics. Provides numerous case studies on complex modelling, such as climate change, flood risk and new drug development. Concentrates on varying models, including flood risk analysis models, the petrol industry forecasts and summarizes the evolution of water distribution systems. Written by experienced statisticians and engineers in order to facilitate communication between modellers in different disciplines. Provides a glossary giving terms commonly used in different modelling traditions. This book provides a much-needed reference guide to approaching statistical modelling. Scientists involved with modelling complex systems in areas such as climate change, flood prediction and prevention, financial market modelling and systems engineering will benefit from this book. It will also be a useful source of modelling case histories.
An exciting new strand in The Television Series, the ‘Moments in Television’ collections celebrate the power and artistry of television, whilst interrogating key critical concepts in television scholarship. Each ‘Moments’ book is organised around a provocative binary theme. Complexity / simplicity addresses the idea of complex TV, examining its potential, limitations and impact upon creative and interpretative practices. It also reassesses simplicity as an alternative criterion for evaluation. Complexity and simplicity persuasively illuminate the book’s chosen programmes in new ways. The book explores an eclectic range of TV fictions, dramatic and comedic. Contributors from diverse perspectives come together to expand and enrich the kind of close analysis most commonly found in television aesthetics. Sustained, detailed programme analyses are sensitively framed within historical, technological, institutional, cultural, creative and art-historical contexts.
This book is about complexity in Information Systems (IS). The subject is addressed from both conceptual and applied perspectives. Concepts are drawn from information theory, industrial design and software engineering. Its content capitalizes on experiences gathered by the authors during various contracting jobs involving software architecture, modeling and IS architecture that were conducted for large organizations in the banking and industry sectors, as well as in the public sector. The authors develop the point of view according to which mastering complexity involves two essential steps: first, one should develop a clear understanding of the real nature of complexity within the IS; second, one should identify the primary causes which contribute to its uncontrolled growth and organize these into a logical framework, in order to define efficient countermeasures. Both technical and psychological causes of complexity are to be considered. Two themes make up the main thread of the book: complexity and value. Both themes are quite common when considered separately, but their interplay remains a largely unexplored topic. The analysis of this interplay is one of the sources of originality of this book.