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.

"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.

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.

'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 is slowing companies down, costing them on average 10% of their profits. Based on cutting-edge research, this practical 'how to' guide will show businesses how to remove complexity to boost profits and morale.

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.