Complexity Explained PDF Download

Author: Peter Erdi
Publisher: Springer Science & Business Media
ISBN: 3540357785
Category : Technology & Engineering
Languages : en
Pages : 400

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Book Description
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: Neil Johnson
Publisher: Simon and Schuster
ISBN: 1780740492
Category : Science
Languages : en
Pages : 295

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Book Description
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.

Author: Sanjeev Arora
Publisher: Cambridge University Press
ISBN: 0521424267
Category : Computers
Languages : en
Pages : 609

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Book Description
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

Author: Paul Cilliers
Publisher: Routledge
ISBN: 1134743297
Category : Philosophy
Languages : en
Pages : 170

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Book Description
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.

Author: John E. Mayfield
Publisher: Columbia University Press
ISBN: 0231535287
Category : Science
Languages : en
Pages : 417

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Book Description
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.

Author: Jüri Engelbrecht
Publisher: Cambridge Scholars Publishing
ISBN: 1527574024
Category : Science
Languages : en
Pages : 215

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Book Description
This book explores the complexity of physical and social systems, describing problems related to science policy, networks, values, and education. It stresses that the best advocates for the management of general ideas for the benefit of society are academies that unite top scientists and scholars representing all fields of knowledge. That is why in the context of complexity, the activities of academies are also described, including the current tasks of academies and academia in general.

Author: Birger Sevaldson
Publisher: Common Ground Research Networks
ISBN: 1863352627
Category : Design
Languages : en
Pages : 400

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Book Description
This book addresses one of the most pressing issues of our time: How can we design for, with, and in service of the complex world we live in? How can we be useful as designers in a rapidly changing world due to technological, political, and social processes, as well as climate change and nature destruction? Designers have some beneficial skills for planning with complex systems in mind, yet some old habits need to be overcome. Design's traditional purpose and role has been to solve problems, find order, organize, and simplify. Yet, the concept of designing complexity goes against these established beliefs because complexity cannot be designed away. So, instead, we present ways to live with, influence, and benefit from complex systems. There is no one "right" way presented in this book. Instead, many experiences, approaches, and perspectives are collected and presented. The process this book offers is a methodology called Systems Oriented Design (SOD). SOD is a design methodology and practice primarily geared toward understanding and working with complex systems. Several systems theories influence it, yet it remains true to its origin, the core of designing. SOD is a living and adaptable methodology. Though it is based on design thinking and design methodology, it is easily adapted and applied by anybody working with complex change processes.

Author: Michael A. Arbib
Publisher: MIT Press
ISBN: 9780262011594
Category : Medical
Languages : en
Pages : 442

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Book Description
In Neural Organization, Arbib, Erdi, and Szentagothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "bottom-up" and function- based "top-down" models offer coherent concepts by which to evaluate the experimental data. The goal of this book is to point out the advantages of a multidisciplinary, multistrategied approach to the brain.Part I of Neural Organization provides a detailed introduction to each of the three areas of structure, function, and dynamics. Structure refers to the anatomical aspects of the brain and the relations between different brain regions. Function refers to skills and behaviors, which are explained by means of functional schemas and biologically based neural networks. Dynamics refers to the use of a mathematical framework to analyze the temporal change of neural activities and synaptic connectivities that underlie brain development and plasticity--in terms of both detailed single-cell models and large-scale network models.In part II, the authors show how their systematic approach can be used to analyze specific parts of the nervous system--the olfactory system, hippocampus, thalamus, cerebral cortex, cerebellum, and basal ganglia--as well as to integrate data from the study of brain regions, functional models, and the dynamics of neural networks. In conclusion, they offer a plan for the use of their methods in the development of cognitive neuroscience."

Author: David C. Aron
Publisher: Springer Nature
ISBN: 3030245934
Category : Medical
Languages : en
Pages : 253

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Book Description
This unique title explores complex systems in clinical medicine and the subsequent implementation of that knowledge into practice. Written conversationally and as a reflection on the journey of learning about complex systems, the book explores how knowledge of these systems can be applied to four key roles in academic medicine: clinical practice, education, research, and administration. Further, this title emphasizes how gaining an understanding of complex systems can greatly help a physician deal with the many challenges found in academic medicine. Unlike other books on complexity in medicine, which tend to focus on only one aspect of the management of patients, Complex Systems in Medicine deals with the multifaceted roles of a physician. The approach in this book is uniquely qualitative rather than mathematical, and is written to make it not only of interest to physicians, trainees, and allied health providers, but also to make it more accessible to a non-medical audience. The inclusion of personal anecdotes by the author provides concrete examples of the application of knowledge of complex systems in academic medicine. A first-of-its-kind contribution to the literature, Complex Systems in Medicine: A Hedgehog’s Tale of Complexity in Clinical Practice, Research, Education, and Management is not only a novel reference for medical professionals, it is an accessible tool for the non-medical audience hoping to learn more about complex systems and their direct relevance to medicine, a field that deals with the infinite variety of humans and their ills. It illustrates the consequences of the interactive elements of patient care that make medicine both a science and an art.

Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 1449331696
Category : Computers
Languages : en
Pages : 159

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Book Description
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