Author | John H. Holland | |

ISBN-10 | 9780199662548 | |

Release | 2014 | |

Pages | 95 | |

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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. |

Author | Melanie Mitchell | |

ISBN-10 | 9780199724574 | |

Release | 2009-04-01 | |

Pages | 368 | |

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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. |

Author | Roger Lewin | |

ISBN-10 | 0226476553 | |

Release | 1999 | |

Pages | 234 | |

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Examines the field of complexity science, with sections focusing on how the discipline works within computer simulations, natural ecosystems, and various social systems. |

Author | Edgar Morin | |

ISBN-10 | STANFORD:36105131662368 | |

Release | 2008 | |

Pages | 127 | |

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"This volume contains some key essays by French thinker Edgar Morin on the subject of complexity, and specifically on what Morin calls complex thought."--pub. desc. |

Author | Herbert Rowland | |

ISBN-10 | 9042015667 | |

Release | 2001-01-01 | |

Pages | 201 | |

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The present volume is the first to address the interrelationship between Goethe's scientific thought and work, his ideas on art and literary oeuvre, and chaos and complexity theories. The eleven studies assembled in it treat one or more elements or aspects of this interrelationship, ranging from basic concepts all the way to a model of an aesthetic-scientific methodology. In the process, the authors scrutinize chaos and complexity both as motif and motor of literary texts and nature within various contexts of past and present. The volume should be of interest to literary scholars, scientists, and philosophers of science, indeed, to all those who are interested in the continuities between the humanities and sciences, culture and nature. |

Author | Tim A. Holt | |

ISBN-10 | 1857758552 | |

Release | 2004 | |

Pages | 169 | |

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Complexity theory is a collection of concepts, ideas and perspectives developed largely in fields outside medicine. It allows us to study health care delivery using the metaphor of an ecosystem rather than a machine. This timely book explores the ways complexity theory may assist in the provision of clinical healthcare. It explains the foundations of the theory behind complexity, its place in clinical medicine and in the wider scientific context, using examples of its application in current and potential future medical scenarios. Drawing on insights from diverse areas including ecology, evolutionary theory and computer science, itit demonstrates the relevance of complexity to cardiology, diabetes and mental health, to consultation dynamics and decision support, and to the delivery of other aspects of care, through more informed use of health informatics. The increasingly complex arena of clinical medicine requires new models on which to manage uncertainty, recognise and value diversity, and process information. All clinicians and managers in primary and secondary care will find this book useful and engaging reading. |

Author | John Tyler Bonner | |

ISBN-10 | 0691084947 | |

Release | 1988 | |

Pages | 260 | |

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John Tyler Bonner makes a new attack on an old problem: the question of how progressive increase in the size and complexity of animals and plants has occurred. "How is it," he inquires, "that an egg turns into an elaborate adult? How is it that a bacterium, given many millions of years, could have evolved into an elephant?" The author argues that we can understand this progression in terms of natural selection, but that in order to do so we must consider the role of development--or more precisely the role of life cycles--in evolutionary change. In a lively writing style that will be familiar to readers of his work The Evolution of Culture in Animals (Princeton, 1980), Bonner addresses a general audience interested in biology, as well as specialists in all areas of evolutionary biology. What is novel in the approach used here is the comparison of complexity inside the organism (especially cell differentiation) with the complexity outside (that is, within an ecological community). Matters of size at both these levels are closely related to complexity. The book shows how an understanding of the grand course of evolution can come from combining our knowledge of genetics, development, ecology, and even behavior. |

Author | Mitchell M. Waldrop | |

ISBN-10 | 9780671872342 | |

Release | 1993-09-01 | |

Pages | 380 | |

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A look at the rebellious thinkers who are challenging old ideas with their insights into the ways countless elements of complex systems interact to produce spontaneous order out of confusion |

Author | J. F. Traub | |

ISBN-10 | 0521485061 | |

Release | 1998-12-10 | |

Pages | 139 | |

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The twin themes of computational complexity and information pervade this book. It starts with an introduction to information-based complexity, that is, the computational complexity of continuous mathematical models. It then moves to a variety of topics, including breaking the curse of dimensionality, complexity of path integration, solvability of ill-posed problems, value of information in computation, assigning values to mathematical hypotheses, and mathematical finance. The style is informal, and the goal is motivation and insight. Precise statements and proofs can be found in the monographs and papers included in the comprehensive bibliography. The book will be essential reading for researchers in the many disciplines influenced by the computational complexity of continuous problems. |

Author | Remo Badii | |

ISBN-10 | 0521663857 | |

Release | 1999-08-12 | |

Pages | 318 | |

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Very successful book in the Cambridge Nonlinear Science Series, now available in paperback. |

Author | Sanjeev Arora | |

ISBN-10 | 1139477366 | |

Release | 2009-04-20 | |

Pages | ||

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This beginning graduate textbook describes both recent achievements and classical results of computational complexity theory. Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set. The book starts with a broad introduction to the field and progresses to advanced results. Contents include: definition of Turing machines and basic time and space complexity classes, probabilistic algorithms, interactive proofs, cryptography, quantum computation, lower bounds for concrete computational models (decision trees, communication complexity, constant depth, algebraic and monotone circuits, proof complexity), average-case complexity and hardness amplification, derandomization and pseudorandom constructions, and the PCP theorem. |

Author | Péter Érdi | |

ISBN-10 | 9783540357780 | |

Release | 2007-11-09 | |

Pages | 397 | |

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This book explains why complex systems research is important in understanding the structure, function and dynamics of complex natural and social phenomena. It illuminates how complex collective behavior emerges from the parts of a system, due to the interaction between the system and its environment. Readers will learn the basic concepts and methods of complex system research. The book is not highly technical mathematically, but teaches and uses the basic mathematical notions of dynamical system theory, making the book useful for students of science majors and graduate courses. |

Author | Rick Nason | |

ISBN-10 | 9781442644878 | |

Release | 2017-05-10 | |

Pages | 248 | |

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It's Not Complicated offers a paradigm shift for business professionals looking for simplified solutions to complex problems. Rick Nason introduces the principles of "complexity thinking" which empower managers to understand, correlate, and explain a diverse range of business phenomena. |

Author | Panos M. Pardalos | |

ISBN-10 | 9810214154 | |

Release | 1993 | |

Pages | 511 | |

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Computational complexity, originated from the interactions between computer science and numerical optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty.The main focus of complexity is the study of whether existing algorithms are efficient for the solution of problems, and which problems are likely to be tractable.The quest for developing efficient algorithms leads also to elegant general approaches for solving optimization problems, and reveals surprising connections among problems and their solutions.This book is a collection of articles on recent complexity developments in numerical optimization. The topics covered include complexity of approximation algorithms, new polynomial time algorithms for convex quadratic minimization, interior point algorithms, complexity issues regarding test generation of NP-hard problems, complexity of scheduling problems, min-max, fractional combinatorial optimization, fixed point computations and network flow problems.The collection of articles provide a broad spectrum of the direction in which research is going and help to elucidate the nature of computational complexity in optimization. The book will be a valuable source of information to faculty, students and researchers in numerical optimization and related areas. |

Author | Oded Goldreich | |

ISBN-10 | 9781139472746 | |

Release | 2008-04-28 | |

Pages | ||

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Complexity theory is a central field of the theoretical foundations of computer science. It is concerned with the general study of the intrinsic complexity of computational tasks; that is, it addresses the question of what can be achieved within limited time (and/or with other limited natural computational resources). This book offers a conceptual perspective on complexity theory. It is intended to serve as an introduction for advanced undergraduate and graduate students, either as a textbook or for self-study. The book will also be useful to experts, since it provides expositions of the various sub-areas of complexity theory such as hardness amplification, pseudorandomness and probabilistic proof systems. In each case, the author starts by posing the intuitive questions that are addressed by the sub-area and then discusses the choices made in the actual formulation of these questions, the approaches that lead to the answers, and the ideas that are embedded in these answers. |

Author | Bernard Chazelle | |

ISBN-10 | 0521003571 | |

Release | 2000 | |

Pages | 475 | |

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The discrepancy method is the glue that binds randomness and complexity. It is the bridge between randomized computation and discrepancy theory, the area of mathematics concerned with irregularities in distributions. The discrepancy method has played a major role in complexity theory; in particular, it has caused a mini-revolution of sorts in computational geometry. This book tells the story of the discrepancy method in a few short independent vignettes. It is a varied tale which includes such topics as communication complexity, pseudo-randomness, rapidly mixing Markov chains, points on the sphere and modular forms, derandomization, convex hulls, Voronoi diagrams, linear programming and extensions, geometric sampling, VC-dimension theory, minimum spanning trees, linear circuit complexity, and multidimensional searching. The mathematical treatment is thorough and self-contained. In particular, background material in discrepancy theory is supplied as needed. Thus the book should appeal to students and researchers in computer science, operations research, pure and applied mathematics, and engineering. |

Author | Erich Novak | |

ISBN-10 | 3037190698 | |

Release | 2009 | |

Pages | 97 | |

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"This book contains five essays on the complexity of continuous problems, written for a wider audience. The first four essays are based on talks presented in 2008 when Henryk Wozniakowski received an honorary doctoral degree from the Friedrich Schiller University of Jena. The focus is on the introduction and history of the complexity of continuous problems, as well as on recent progress concerning the complexity of high-dimensional numerical problems. The last essay provides a brief and informal introduction to the basic notions and concepts of information-based complexity addressed to a general readership."--Publisher's description. |