In a bold attempt to redirect the ways theories of communication are conceived and research on communication processes are conducted, this volume questions prevailing communication scholarship that emphasizes the cultural, psychological, and sociological variables that impact on, and/or are impacted by, communication. Instead of focusing on the "consequences" of communication, this books urges readers to examine the "consequentiality" of communication -- what it is about the communication process that enables it to play a defining role in our lives. Communication is not a neutral conveyor of meanings derived from culture, cognition, or social structure, and is not explained by correlations with external variables. Meaning emerges from the communication process itself; it is dependent upon what transpires during the real-time moments of communicators behaving with each other. To properly study this new paradigm, a new vocabulary for thinking about the consequentiality of communication is needed and proposed.
Four theoretical orientations are used to stake out this new territory: coordinated management of meaning, neo-rhetorical theory, conversation analysis, and social communication theory. While there are points of agreement and overlap on the need to study communication as inherently consequential, there are also differences across the four theories -- in the value of "rules" as an explanatory concept, on the relationship between structure and process, and on the very constitution of a "theory." Thus, this book has the benefit of articulating a new paradigm for communication scholarship without losing sight of the discipline's rich diversity.

In a bold attempt to redirect the ways theories of communication are conceived and research on communication processes are conducted, this volume questions prevailing communication scholarship that emphasizes the cultural, psychological, and sociological variables that impact on, and/or are impacted by, communication. Instead of focusing on the "consequences" of communication, this books urges readers to examine the "consequentiality" of communication -- what it is about the communication process that enables it to play a defining role in our lives. Communication is not a neutral conveyor of meanings derived from culture, cognition, or social structure, and is not explained by correlations with external variables. Meaning emerges from the communication process itself; it is dependent upon what transpires during the real-time moments of communicators behaving with each other. To properly study this new paradigm, a new vocabulary for thinking about the consequentiality of communication is needed and proposed.
Four theoretical orientations are used to stake out this new territory: coordinated management of meaning, neo-rhetorical theory, conversation analysis, and social communication theory. While there are points of agreement and overlap on the need to study communication as inherently consequential, there are also differences across the four theories -- in the value of "rules" as an explanatory concept, on the relationship between structure and process, and on the very constitution of a "theory." Thus, this book has the benefit of articulating a new paradigm for communication scholarship without losing sight of the discipline's rich diversity.

With the advent of the National Curriculum, computer based modelling (CBM) is now a compulsory part of the school curriculum. Teachers are increasingly being encouraged to seek out opportunities for CBM in their own subject and across the curriculum. The new demands on the curriculum have left eachers and teacher trainers concerned as to their lack of experience in the area. This book sets out to provide a comprehensive guide to the area through an examination of a number of funded projects on CBM and their application to the school curriculum, setting them in the context of wider theoretical and practical concerns. It is acknowledged that computers bring about change in the classroom, both in teachers' professional development and innovative practices in teaching and learning. In highlighting how CBM can aid in the effective delivery of the curriculum, this book should be essential reading for teachers and researchers in the field.

This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.
Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions.

Whereas many organizational communication texts address internal communication processes, few consider the efforts that companies expend to communicate with external stakeholders. Likewise, many texts that concentrate on public relations or advertising consider external communication, but fail to give attention to internal communication. Combining both points of view, this text explains how an entire organization operates through enactments of personnel and external stakeholders.
Central to this book is a concern for meaning and its influence on the performance of jobs in response to expectations of co-workers and external publics. The concept of narrative is used to explain how individual and organization performance is the expression of personae that are best when enacted jointly -- in varying degrees of coordination -- to satisfy mutual performance expectations. Narrative explains the power of organizational meaning, interpersonal contacts, group performance, stakeholder negotiation, and internal and external organizational zones of meaning -- assumptions that are shared by people who enact an organization through coordinated efforts.

This book provides a much needed short, reliable and stimulating guide to the mass media in present day society. Incisive, surprising and stimulating it will become an essential text in thinking and writing about the mass media.

The book discusses subjective ratings of quality and preference of unknown voices and dialog partners - their likability, for example. Human natural and artificial voices are studied in passive listening and interactive scenarios. In this book, the background, state of research, and contributions to the assessment and prediction of talker quality that is constituted in voice perception and in dialog are presented. Starting from theories and empirical findings from human interaction, major results and approaches are transferred to the domain of human-computer interaction (HCI). The main objective of this book is to contribute to the evaluation of spoken interaction in humans and between humans and computers, and in particular to the quality subsequently attributed to the speaking system or person based on the listening and interactive experience. Provides a comprehensive overview of research in evaluation of speakers and dialog partners; Presents recent results on the relevance of a first passive and interactive impression; Includes human and HCI evaluation results from a communicative perspective.

Social scientists often dismiss the media as untrustworthy and irresponsible and the media frequently regard social scientists as incapable of giving a straight answer. The contributors to this volume complain of having been misrepresented, misquoted and edited out of all recognition. That this clash of cultures should occur is not surprising given the different priorities and perspectives of the social sciences and the media. This work examines these issues from the viewpoint of the media and social scientists who have had extensive media contact. The academics contributing to this book have conducted research on a diverse range of topics including: education, stress, football hooliganism, intelligence, risk factors for illness, drug use, performance appraisal in universities, politics, sex, religion, pornography, female sexuality, terrorism, youth culture and media studies. There are also chapters from well-known media practitioners, from radio, the television and newspapers. Based on the contributions, the editors offer practical suggestions for social scientists to help them work more effectively with the media and thereby reach a wider audience.

"Information Theory and Statistical Learning" presents theoretical and practical results about information theoretic methods used in the context of statistical learning.

The book will present a comprehensive overview of the large range of different methods that have been developed in a multitude of contexts. Each chapter is written by an expert in the field. The book is intended for an interdisciplinary readership working in machine learning, applied statistics, artificial intelligence, biostatistics, computational biology, bioinformatics, web mining or related disciplines.

Advance Praise for "Information Theory and Statistical Learning"

"A new epoch has arrived for information sciences to integrate various disciplines such as information theory, machine learning, statistical inference, data mining, model selection etc. I am enthusiastic about recommending the present book to researchers and students, because it summarizes most of these new emerging subjects and methods, which are otherwise scattered in many places." Shun-ichi Amari, RIKEN Brain Science Institute, Professor-Emeritus at the University of Tokyo

How to build and maintain strong data organizations--the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization's data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. Identify the impact and value of data in your business Design governance programs that fit your organization Discover and adopt tools that measure performance and need Address data needs and build a more data-centric business culture This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.

"Sampled-data Models for Linear and Nonlinear Systems" provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities. The text is driven by three motives:

.the ubiquity of computers in modern control and signal-processing equipment means that sampling of systems that really evolve continuously is unavoidable;

.although superficially straightforward, sampling can easily produce erroneous results when not treated properly; and

. the need for a thorough understanding of many aspects of sampling among researchers and engineers dealing with applications to which they are central.

The authors tackle many misconceptions which, although appearing reasonable at first sight, are in fact either partially or completely erroneous. They also deal with linear and nonlinear, deterministic and stochastic cases. The impact of the ideas presented on several standard problems in signals and systems is illustrated using a number of applications.

Academic researchers and graduate students in systems, control and signal processing will find the ideas presented in "Sampled-data Models for Linear and Nonlinear Systems" to be a useful manual for dealing with sampled-data systems, clearing away mistaken ideas and bringing the subject thoroughly up to date. Researchers in statistics and economics will also derive benefit from the reworking of ideas relating a model derived from data sampling to an original continuous system.

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This book provides a much needed short, reliable and stimulating guide to the mass media in present day society. Incisive, surprising and stimulating it will become an essential text in thinking and writing about the mass media.

The phenomenal international bestseller that shows us how to stop trying to predict everything - and take advantage of uncertainty What have the invention of the wheel, Pompeii, the Wall Street Crash, Harry Potter and the internet got in common? Why are all forecasters con-artists? Why should you never run for a train or read a newspaper? This book is all about Black Swans: the random events that underlie our lives, from bestsellers to world disasters. Their impact is huge; they're impossible to predict; yet after they happen we always try to rationalize them. 'Taleb is a bouncy and even exhilarating guide ... I came to relish what he said, and even develop a sneaking affection for him as a person' Will Self, Independent on Sunday 'He leaps like some superhero of the mind' Boyd Tonkin, Independent

Networks surround us, from social networks to protein - protein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs - component structure, matchings and Hamilton cycles, connectivity and chromatic number - before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading.

Probability theory has been extraordinarily successful at describing a variety of phenomena, from the behaviour of gases to the transmission of messages, and is, besides, a powerful tool with applications throughout mathematics. At its heart are a number of concepts familiar in one guise or another to many: Gauss' bell-shaped curve, the law of averages, and so on, concepts that crop up in so many settings they are in some sense universal. This universality is predicted by probability theory to a remarkable degree. This book explains that theory and investigates its ramifications. Assuming a good working knowledge of basic analysis, real and complex, the author maps out a route from basic probability, via random walks, Brownian motion, the law of large numbers and the central limit theorem, to aspects of ergodic theorems, equilibrium and nonequilibrium statistical mechanics, communication over a noisy channel, and random matrices. Numerous examples and exercises enrich the text.

The Second Law, a cornerstone of thermodynamics, governs the average direction of dissipative, non-equilibrium processes. But it says nothing about their actual rates or the probability of fluctuations about the average. This interdisciplinary book, written and peer-reviewed by international experts, presents recent advances in the search for new non-equilibrium principles beyond the Second Law, and their applications to a wide range of systems across physics, chemistry and biology. Beyond The Second Law brings together traditionally isolated areas of non-equilibrium research and highlights potentially fruitful connections between them, with entropy production playing the unifying role. Key theoretical concepts include the Maximum Entropy Production principle, the Fluctuation Theorem, and the Maximum Entropy method of statistical inference. Applications of these principles are illustrated in such diverse fields as climatology, cosmology, crystal growth morphology, Earth system science, environmental physics, evolutionary biology and technology, fluid turbulence, microbial biogeochemistry, plasma physics, and radiative transport, using a wide variety of analytical and experimental techniques. Beyond The Second Law will appeal to students and researchers wishing to gain an understanding of entropy production and its central place in the science of non-equilibrium systems - both in detail and in terms of the bigger picture.

This monograph details basic concepts and tools fundamental for the analysis and synthesis of linear systems subject to actuator saturation and developments in recent research. The authors use a state-space approach and focus on stability analysis and the synthesis of stabilizing control laws in both local and global contexts. Different methods of modeling the saturation and behavior of the nonlinear closed-loop system are given special attention. Various kinds of Lyapunov functions are considered to present different stability conditions. Results arising from uncertain systems and treating performance in the presence of saturation are given. The text proposes methods and algorithms, based on the use of linear programming and linear matrix inequalities, for computing estimates of the basin of attraction and for designing control systems accounting for the control bounds and the possibility of saturation. They can be easily implemented with mathematical software packages.

This book introduces an interesting and alternative way to design absorbing boundary conditions (ABCs) for quantum wave equations, basically the nonlinear Schroedinger equation. The focus of this book is the application of the phase space filter approach to derive accurate radiation conditions for Schroedinger equations. Researchers who are interested in partial differential equations and mathematical physics might find this book appealing.

Using easy-to-follow mathematics, this textbook provides comprehensive coverage of block codes and techniques for reliable communications and data storage. It covers major code designs and constructions from geometric, algebraic, and graph-theoretic points of view, decoding algorithms, error control additive white Gaussian noise (AWGN) and erasure, and dataless recovery. It simplifies a highly mathematical subject to a level that can be understood and applied with a minimum background in mathematics, provides step-by-step explanation of all covered topics, both fundamental and advanced, and includes plenty of practical illustrative examples to assist understanding. Numerous homework problems are included to strengthen student comprehension of new and abstract concepts, and a solutions manual is available online for instructors. Modern developments, including polar codes, are also covered. An essential textbook for senior undergraduates and graduates taking introductory coding courses, students taking advanced full-year graduate coding courses, and professionals working on coding for communications and data storage.

This book introduces the reader to Serres' unique manner of 'doing philosophy' that can be traced throughout his entire oeuvre: namely as a novel manner of bearing witness. It explores how Serres takes note of a range of epistemologically unsettling situations, which he understands as arising from the short-circuit of a proprietary notion of capital with a praxis of science that commits itself to a form of reasoning which privileges the most direct path (simple method) in order to expend minimal efforts while pursuing maximal efficiency. In Serres' universal economy, value is considered as a function of rarity, not as a stock of resources. This book demonstrates how Michel Serres has developed an architectonics that is coefficient with nature. Mathematic and Information in the Philosophy of Michel Serres acquaints the reader with Serres' monist manner of addressing the universality and the power of knowledge - that is at once also the anonymous and empty faculty of incandescent, inventive thought. The chapters of the book demarcate, problematize and contextualize some of the epistemologically unsettling situations Serres addresses, whilst also examining the particular manner in which he responds to and converses with these situations.

This volume contains the extended version of selected talks given at the international research workshop "Coping with Complexity: Model Reduction and Data Analysis," Ambleside, UK, August 31 - September 4, 2009. The book is deliberately broad in scope and aims at promoting new ideas and methodological perspectives. The topics of the chapters range from theoretical analysis of complex and multiscale mathematical models to applications in e.g., fluid dynamics and chemical kinetics.

This book contains advances on the theory and applications of time-delay systems with particular focus on interconnected systems. The methods for stability analysis and control design are based on time-domain and frequency-domain approaches, for continuous-time and sampled-data systems, linear and nonlinear systems. This volume is a valuable source of reference for control practitioners, graduate students, and scientists researching practical as well as theoretical solutions to a variety of control problems inevitably influenced by the presence of time delays. The contents are organized in three parts: Interconnected Systems analysis, Modeling and and Analysis for Delay systems, and Stabilization and Control Strategies for Delay Systems. This volume presents a selection of 19 contributions presented in the 4th DelSys Workshop which took place in Gif-sur-Yvette, France November 25-27, 2015.

A highly contentious, very readable and totally up-to-the-minute investigation of women's natural relationship with modern technology, an association which, Plant argues, will trigger a new sexual revolution. Zeros and Ones is an intelligent, provocative and accessible investigation of the intersection between women, feminism, machines and in particular, information technology. Arguing that the computer is rewriting the old conceptions of man and his world, it suggests that the telecoms revolution is also a sexual revolution which undermines the fundamental assumptions crucial to patriarchal culture. Historical, contemporary and future developments in telecommunications and in IT are interwoven with the past, present and future of feminism, women and sexual difference, and a wealth of connections, parallels and affinities between machines and women are uncovered as a result. Challenging the belief that man was ever in control of either his own agency, the planet, or his machines, this book argues it is seriously undermined by the new scientific paradigms emergent from theories of chaos, complexity and connectionism, all of which suggest that the old distinctions between man, woman, nature and technology need to be radically reassessed.

Vilfredo Pareto was one of the great systems theorists of the twentieth century, embracing economics, psychology, sociology and politics. In this important work, Michael McLure takes as his subject of study the rapport between Pareto's economic and sociological theory, and consequently, illuminates the role of economics in public policy development.