Complexity Science

This book provides the first comprehensive introduction to the newly-emerging science of mobile phone behavior. It presents the unexpected complexity of human mobile phone behavior through four basic aspects of mobile phone usage (users, technologies, activities, and effects), and then explores four major domains of such behavior (medicine, business, education, and everyday life). Chapters open with thoughts on mobile phone usage and behavior from interviews with cell phone users, then present a series of scientific studies, synthesized knowledge, and real-life cases, concluding with complex but highly readable analyses of each aspect of mobile phone behavior. Readers should achieve two intellectual goals: gaining a usable knowledge of the complexity of mobile phone behaviour, and developing the skills to analyze the complexity of mobile phone usage - and further technological behaviors.

"This book explores why creativity is so important to the global workplace and workforce. It provides information about the importance of creativity in this era of growing complexity and rapid change,

Taking a comparative approach, this book investigates the ways in which obesity and its susceptibilities are framed in science and policy and how they might work better. Providing a clear, authoritative voice on the debate, the author builds on early work to engage further in ecological and complexity thinking in obesity. Many of the models that have emerged since obesity became a population-level issue are examined, including the energy balance model, and models used to examine human body fatness from a range of perspectives including evolutionary, anthropological, environmental, and political viewpoints. The book is ideal for those working on, or interested in, obesity science, health policy, health economics, evolutionary medicine, medical sociology, nutrition and public health who want to understand the shifts that have taken place in obesity science, policy, and intervention in the past forty years.

"This book focuses on the importance of brand equity for long-term companies profitability, taking into account the complexity of the environment as a resultant factor that increasingly complicates th

This volume applies the science of complexity to study coupled human-environment systems (CHES) and integrates ideas from the social sciences of climate change into a study of rural development amid f

There is an understandable tendency or desire to attribute blame when patients are harmed by their own healthcare. However, many cases of iatrogenic harm involve little or no moral culpability. Even when blame is justified, an undue focus on one individual often deflects attention from other important factors within the inherent complexity of modern healthcare. This revised second edition advocates a rethinking of accountability in healthcare based on science, the principles of a just culture, and novel therapeutic legal processes. Updated to include many recent relevant events, including the Keystone Project in the USA and the Mid Staffordshire scandal in the UK, this book considers how the concepts of a just culture have been successfully implemented so far, and makes recommendations for best practice. This book will be of interest to anyone concerned with patient safety, medical law and the regulation of healthcare.

There is an understandable tendency or desire to attribute blame when patients are harmed by their own healthcare. However, many cases of iatrogenic harm involve little or no moral culpability. Even when blame is justified, an undue focus on one individual often deflects attention from other important factors within the inherent complexity of modern healthcare. This revised second edition advocates a rethinking of accountability in healthcare based on science, the principles of a just culture, and novel therapeutic legal processes. Updated to include many recent relevant events, including the Keystone Project in the USA and the Mid Staffordshire scandal in the UK, this book considers how the concepts of a just culture have been successfully implemented so far, and makes recommendations for best practice. This book will be of interest to anyone concerned with patient safety, medical law and the regulation of healthcare.

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

Are you applying for graduate school and feeling overwhelmed by the choices available to you and the complexity of the application process? This informative and humorous guide for life and earth science students offers comprehensive advice to help you prepare and increase your chances of success. Adopting a step-by-step approach, you will be guided through the entire application process, from undergraduate preparation and choice of graduate program, to funding, applying, scheduling a visit, and finally deciding which offer to accept. Based extensively on a comprehensive survey of graduate admissions programs across the United States, the advice offered is evidence-based and specific to the natural sciences. This jargon-free text ensures that prospective students are well prepared and make best use of all available resources to convince graduate programs and advisors that you are the best candidate.

The aim of this book is to understand and critically appraise science-based transgression dynamics in their whole complexity. It includes contributions from experts with different disciplinary backgro

Over the past thirty years, a new systemic conception of life has emerged at the forefront of science. New emphasis has been given to complexity, networks, and patterns of organisation, leading to a novel kind of 'systemic' thinking. This volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Taking a broad sweep through history and across scientific disciplines, the authors examine the appearance of key concepts such as autopoiesis, dissipative structures, social networks, and a systemic understanding of evolution. The implications of the systems view of life for health care, management, and our global ecological and economic crises are also discussed. Written primarily for undergraduates, it is also essential reading for graduate students and researchers interested in understanding the new systemic conception of life and its implications for a broad range of professions - from economics and politics to medicine, psychol

The Science of Evolution considers evolution in the context of systems biology, a contemporary approach for handling biological complexity. Evolution needs this systems perspective for three reasons.

This volume provides all aspects essential to understand the clinical complexity of the cervical spine. Scans have procedures in place for a proper clinical assessment of the patient and discusses cur

The link between liberty and knowledge is neither static nor simple. Until recently the mutual support between knowledge, science, democracy and emancipation was presupposed. Recently, however, the close relationship between democracy and knowledge has been viewed with skepticism. The growing societal reliance on specialized knowledge often appears to actually undermine democracy. Is it that we do not know enough, but that we know too much? What are the implications for the freedom of societies and their citizens? Does knowledge help or heed them in unraveling the complexity of new challenges? This book systematically explores the shifting dynamics of knowledge production and the implications for the conditions and practices of freedom. It considers the growth of knowledge about knowledge and the impact of an evolving media. It argues for a revised understanding of the societal role of knowledge and presents the concept of 'knowledge societies' as a major resource for liberty.

The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft

Research Regulatory Compliance offers the latest information on regulations and compliance in the laboratory. With the increasing complexity of regulations and need for institutional infrastructure to

Recent advances in science and technology have made modern computing and engineering systems more powerful and sophisticated than ever. The increasing complexity and scale imply that system reliabilit

We are living in the era of "Big Data" and the computing power required to deal with "Big Data" both in terms of its energy consumption and technical complexity is

The book is intended for lectures on string processes and pattern matching in Master's courses of computer science and software engineering curricula. The details of algorithms are given with correctness proofs and complexity analysis, which make them ready to implement. Algorithms are described in a C-like language. The book is also a reference for students in computational linguistics or computational biology. It presents examples of questions related to the automatic processing of natural language, to the analysis of molecular sequences, and to the management of textual databases.

Formal languages are widely regarded as being above all mathematical objects and as producing a greater level of precision and technical complexity in logical investigations because of this. Yet defining formal languages exclusively in this way offers only a partial and limited explanation of the impact which their use (and the uses of formalisms more generally elsewhere) actually has. In this book, Catarina Dutilh Novaes adopts a much wider conception of formal languages so as to investigate more broadly what exactly is going on when theorists put these tools to use. She looks at the history and philosophy of formal languages and focuses on the cognitive impact of formal languages on human reasoning, drawing on their historical development, psychology, cognitive science and philosophy. Her wide-ranging study will be valuable for both students and researchers in philosophy, logic, psychology and cognitive and computer science.

‧ "Science can't explain the complexity and order of life; God must have designed it to be this way." ‧ "God's existence is proven by scripture." ‧ "There's no evidence that God doesn't exist." ‧ "

Family Problems: Stress, Risk, and Resilience presents an interdisciplinary collection of original essays that push the boundaries of family science to reflect the increasingly diverse complexity of f

Provides an overview of modern transplantation in all its complexity, from basic science to gold-standard surgical techniques to post-operative care, and from likely outcomes to considerations for tra

Advances in science and the humanities have demonstrated the complexity of psychological, social and neurological factors influencing identity. A contemporary discourse is needed to anchor the concept

Advances in science and the humanities have demonstrated the complexity of psychological, social and neurological factors influencing identity. A contemporary discourse is needed to anchor the concept

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible t

Over the past thirty years, a new systemic conception of life has emerged at the forefront of science. New emphasis has been given to complexity, networks, and patterns of organisation, leading to a novel kind of 'systemic' thinking. This volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Taking a broad sweep through history and across scientific disciplines, the authors examine the appearance of key concepts such as autopoiesis, dissipative structures, social networks, and a systemic understanding of evolution. The implications of the systems view of life for health care, management, and our global ecological and economic crises are also discussed. Written primarily for undergraduates, it is also essential reading for graduate students and researchers interested in understanding the new systemic conception of life and its implications for a broad range of professions - from economics and politics to medicine, psychol

Some of our earliest experiences of the conclusive force of an argument come from school mathematics: faced with a mathematical proof, we cannot deny the conclusion once the premises have been accepted. Behind such arguments lies a more general pattern of 'demonstrative arguments' that is studied in the science of logic. Logical reasoning is applied at all levels, from everyday life to advanced sciences, and a remarkable level of complexity is achieved in everyday logical reasoning, even if the principles behind it remain intuitive. Jan von Plato provides an accessible but rigorous introduction to an important aspect of contemporary logic: its deductive machinery. He shows that when the forms of logical reasoning are analysed, it turns out that a limited set of first principles can represent any logical argument. His book will be valuable for students of logic, mathematics and computer science.

Some of our earliest experiences of the conclusive force of an argument come from school mathematics: faced with a mathematical proof, we cannot deny the conclusion once the premises have been accepted. Behind such arguments lies a more general pattern of 'demonstrative arguments' that is studied in the science of logic. Logical reasoning is applied at all levels, from everyday life to advanced sciences, and a remarkable level of complexity is achieved in everyday logical reasoning, even if the principles behind it remain intuitive. Jan von Plato provides an accessible but rigorous introduction to an important aspect of contemporary logic: its deductive machinery. He shows that when the forms of logical reasoning are analysed, it turns out that a limited set of first principles can represent any logical argument. His book will be valuable for students of logic, mathematics and computer science.

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, includin

A systematic theory of naturalism, bridging metaphysics and the science of complexity and emergence.

The European Conference on Complex Systems, held under the patronage of the Complex Systems Society, is an annual event that has become the leading European conference devoted to complexity science. E

Emerging from the scientific parameters underpinning REDD+ (including the measurement of carbon stocks, reporting and verification), Law, Tropical Forests and Carbon considers the crucial challenges for global and national governance and the legal rights and interests of indigenous people and local communities, all of which have fundamental implications for development and poverty alleviation. With contributions from leading experts in the fields of law, governance, science, development studies and geography, it sheds light on the complexity of REDD+ and offers perspectives on the extent to which REDD+ agreements can be enforced under international law and in concert with new private and public domestic institutions.

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve br

Recognising that the economy is a complex system with boundedly rational interacting agents, the book presents a theory of behavioral rationality and heterogeneous expectations in complex economic systems and confronts the nonlinear dynamic models with empirical stylized facts and laboratory experiments. The complexity modeling paradigm has been strongly advocated since the late 1980s by some economists and by multidisciplinary scientists from various fields, such as physics, computer science and biology. More recently the complexity view has also drawn the attention of policy makers, who are faced with complex phenomena, irregular fluctuations and sudden, unpredictable market transitions. The complexity tools - bifurcations, chaos, multiple equilibria - discussed in this book will help students, researchers and policy makers to build more realistic behavioral models with heterogeneous expectations to describe financial market movements and macro-economic fluctuations, in order to bett

The editors, aware of the recent work in evolutionary theory and the science of chaos and complexity, challenge the sometimes deterministic flavor of this subject. They are interested in uncovering th

Description logics (DLs) have a long tradition in computer science and knowledge representation, being designed so that domain knowledge can be described and so that computers can reason about this knowledge. DLs have recently gained increased importance since they form the logical basis of widely used ontology languages, in particular the web ontology language OWL. Written by four renowned experts, this is the first textbook on description logics. It is suitable for self-study by graduates and as the basis for a university course. Starting from a basic DL, the book introduces the reader to their syntax, semantics, reasoning problems and model theory and discusses the computational complexity of these reasoning problems and algorithms to solve them. It then explores a variety of reasoning techniques, knowledge-based applications and tools and it describes the relationship between DLs and OWL.

Formal languages are widely regarded as being above all mathematical objects and as producing a greater level of precision and technical complexity in logical investigations because of this. Yet defining formal languages exclusively in this way offers only a partial and limited explanation of the impact which their use (and the uses of formalisms more generally elsewhere) actually has. In this book, Catarina Dutilh Novaes adopts a much wider conception of formal languages so as to investigate more broadly what exactly is going on when theorists put these tools to use. She looks at the history and philosophy of formal languages and focuses on the cognitive impact of formal languages on human reasoning, drawing on their historical development, psychology, cognitive science and philosophy. Her wide-ranging study will be valuable for both students and researchers in philosophy, logic, psychology and cognitive and computer science.

The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioin

John Tyndall (1820–93) was an Irish physicist who became fascinated by mountaineering after a scientific expedition to Switzerland in 1856. He traversed the summit of the Matterhorn in 1868 and climbed Mount Blanc three times. Alongside this love of mountains was a scientific interest in glaciers and ice formations. Tyndall was also well-regarded for his ability to communicate with the public about science. Many of his books, such as this one, published in 1872 as part of the International Scientific Series, are aimed at the general reader. Tyndall uses this work to explain many aspects of water, beginning with cloud formation and rain before moving on to ice, snow and glaciers. He also discusses the principles behind phenomena ranging from tropical rains to glacial movement. Illustrated and organised into 493 different points under themed headings, this book gives clear explanations of the complexity of the earth's water system.