"The Communication Theory Reader" provides a clear introduction to communication studies, presenting the most important work which has shaped the field of communication studies and sampling a range of theories from the disciplines of linguistics, semiotics, philosophy, literary theory, film theory and psychoanalysis. The articles are grouped in subject sections, with an editor's introduction, and indications of further reading together with a glossary and a comprehensive bibliography. Contributors: Ien Ang, J.L. Austin, Roland Barthes, Emile Benveniste, Mikkel Borch-Jacobsen, Nick Browne, Steven Cohan, Jacques Derrida, Umberto Eco, Stanley Fish, M.A.K. Halliday, Stephen Heath, Wolfgang Iser, Roman Jakobson, Gunther Kress, Jacques Lacan, Alan Luke, Theo van Leeuwen, Jerry Palmer, Charles Sanders Peirce, Janice A. Radway, Ferdinand de Saussure, John Searle, Linda M. Shires, Brian Torode, V.N. Volosinov, Judith Williamson

Ithiel de Sola Pool was a pioneering social scientist, a distinguished scholar of the political process, and one of the most original thinkers in the development of the social sciences. Passionately engaged in politics, he continued his role of leadership throughout his life, building the MIT Political Science Department into an outstanding group. He organized international teams of social scientists and collaborated widely to develop the understanding of social change. He was a frequent adviser to governments as consultant and in-house critic, and a successful advocate of limits on government regulation. "Politics in Wired Nations" presents his writings on the social and political impact of different communication systems and new telecommunications technology. Included in this volume is the first study of trends in a global information society, and the first study of social networks and the "small world" phenomenon that creates new relationships and routes of informal influence and political power, both domestic and international. Pool's essays on the politics of foreign trade, the influence of American businessmen on Congress, and changeable "unnatural" institutions of the modern world (e.g., bureaucracies, mega-cities, and nation-states) are herein contained. Pool describes a nonviolent revolution in freedom and political control that is possible as the world changes from the era of one-way mass communications--targeted to national audiences--to a new era of abundant, high-capacity, low-cost, interactive, and user-controlled communications on a global scale. He discusses policy choices for freedom, the battlegrounds ahead, and the risks of government involvement in the regulation of new telecommunication technologies.

"Coalescent Argumentation" is based on the concept that arguments can function from agreement, rather than disagreement. To prove this idea, Gilbert first discusses how several components--emotional, visceral (physical) and kisceral (intuitive) are utilized in an argumentative setting by people everyday. These components, also characterized as "modes," are vital to argumentative communication because they affect both the argument and the resulting outcome.
In addition to the components/modes, this book also stresses the goals in argumentation as a means for understanding one's own and one's opposer's positions. Gilbert argues that by viewing positions as complex human events involving a variety of communicative modes, we are better able to find commonalities across positions, and, therefore, move from conflict to resolution. By focusing on agreement and shared goals in all modes, arguers can coalesce diverse positions and more easily distinguish between minor or unrelated differences and core disagreements. This permits much greater latitude for locating shared beliefs, values, and attitudes that will lead to conflict resolution.

This collection of readings is designed to provide easy access to Communication Theory. Many of the essays in the Reader have previously been difficult to obtain and many have appeared in contexts where their relevance for communications, media and cultural studies was not immediately apparent. The Reader presents the most important work which has shaped the field as it stands today. The articles are grouped in subject sections, with an editor's introduction, indications of further reading together with a glossary and comprehensive bibliography.

The question of how we communicate is at the heart of On Dialogue. This revised and expanded edition is the most comprehensive documentation to date of best-selling author David Bohm's dialogical world view. Whilst the exercise of dialogue is as old as civilization itself, in recent times a profusion of practices, techniques and definitions has arisen around the term 'dialogue'. None of these approaches can claim to be the correct view, but it is possible to distinguish between them and to clarify the intention of each. To this end, the current edition of On Dialogue illuminates the underlying meaning, purpose and uniqueness of David Bohm's work in this field.

Psychological research into human cognition and judgment reveals a wide range of biases and shortcomings. Whether we form impressions of other people, recall episodes from memory, report our attitudes in an opinion poll, or make important decisions, we often get it wrong. The errors made are not trivial and often seem to violate common sense and basic logic. A closer look at the underlying processes, however, suggests that many of the well known fallacies do not necessarily reflect inherent shortcomings of human judgment. Rather, they partially reflect that research participants bring the tacit assumptions that govern the conduct of conversation in daily life to the research situation. According to these assumptions, communicated information comes with a guarantee of relevance and listeners are entitled to assume that the speaker tries to be informative, truthful, relevant, and clear. Moreover, listeners interpret the speakers' utterances on the assumption that they are trying to live up to these ideals.
This book introduces social science researchers to the "logic of conversation" developed by Paul Grice, a philosopher of language, who proposed the cooperative principle and a set of maxims on which conversationalists implicitly rely. The author applies this framework to a wide range of topics, including research on person perception, decision making, and the emergence of context effects in attitude measurement and public opinion research. Experimental studies reveal that the biases generally seen in such research are, in part, a function of violations of Gricean conversational norms. The author discusses implications for the design of experiments and questionnaires and addresses the socially contextualized nature of human judgment.

The recent evolution of western societies has been characterized by an increasing emphasis on information and communication. As the amount of available information increases, however, the user -- worker, student, citizen -- faces a new problem: selecting and accessing relevant information. More than ever it is crucial to find efficient ways for users to interact with information systems in a way that prevents them from being overwhelmed or simply missing their targets. As a result, hypertext systems have been developed as a means of facilitating the interactions between readers and text. In hypertext, information is organized as a network in which nodes are text chunks (e.g., lists of items, paragraphs, pages) and links are relationships between the nodes (e.g., semantic associations, expansions, definitions, examples -- virtually any kind of relation that can be imagined between two text passages). Unfortunately, the many ways in which these hypertext interfaces can be designed has caused a complexity that extends far beyond the processing abilities of regular users. Therefore, it has become widely recognized that a more rational approach based on a thorough analysis of information users' needs, capacities, capabilities, and skills is needed. This volume seeks to meet that need.
From a user-centered perspective -- between systems and users -- this volume presents theoretical and empirical research on the cognitive processes involved in using hypertext. In so doing, it illustrates three main approaches to the design of hypertext systems:
*cognitive, which examines how users process multilayered hypertext structures;
*ergonomical, which explores how users interact with the design characteristics of hardware and software; and
*educational, which studies the learning objectives, frequency and duration of hypertext sessions, type of reading activity, and the user's learning characteristics.
This volume also tries to provide answers for the questions that have plagued hypertext research:
*What is hypertext good for?
*Who is hypertext good for?
*If it is useful for learning and instruction, then what type?
*What particular cognitive skills are needed to interact successfully with a hypertext system? Anyone interested in the fields of computer science, linguistics, psychology, education, and graphic design will find this volume intriguing, informative, and a definitive starting point for future research in the field of hypertext.

Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling. Divided into three parts, the text begins with a focus on H filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems. Filtering problems are considered in the second part, and in the third the theory and techniques previously developed are applied to the solution of issues arising in complex networks with the design of sampled-data-based controllers and filters. Among its highlights, the text provides: * a unified framework for filtering and control problems in complex communication networks with limited bandwidth; * new concepts such as random sensor and signal saturations for more realistic modeling; and * demonstration of the use of techniques such as the Hamilton-Jacobi-Isaacs, difference linear matrix, and parameter-dependent matrix inequalities and sums of squares to handle the computational challenges inherent in these systems. The collection of recent research results presented in Nonlinear Stochastic Processes will be of interest to academic researchers in control and signal processing. Graduate students working with communication networks with lossy information and control of stochastic systems will also benefit from reading the book.

This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.Overall, the book's goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus.

This book represents the best of the first three years of the Society for Chaos Theory in Psychology conferences. While chaos theory has been a topic of considerable interest in the physical and biological sciences, its applications in psychology and related fields have been obscured until recently by its complexity. Nevertheless, a small but rapidly growing community of psychologists, neurobiologists, sociologists, mathematicians, and philosophers have been coming together to discuss its implications and explore its research possibilities.
Chaos theory has been termed the first authentic paradigm shift since the advent of quantum physics. Whether this is true or not, it unquestionably bears profound implications for many fields of thought. These include the cognitive analysis of the mind, the nature of personality, the dynamics of psychotherapy and counseling, understanding brain events and behavioral records, the dynamics of social organization, and the psychology of prediction. To each of these topics, chaos theory brings the perspective of dynamic self-organizing processes of exquisite complexity. Behavior, the nervous system, and social processes exhibit many of the classical characteristics of chaotic systems -- they are deterministic and globally predictable and yet do not submit to precise predictability.
This volume is the first to explore ideas from chaos theory in a broad, psychological perspective. Its introduction, by the prominent neuroscientist Walter Freeman, sets the tone for diverse discussions of the role of chaos theory in behavioral research, the study of personality, psychotherapy and counseling, mathematical cognitive psychology, social organization, systems philosophy, and the understanding of the brain.

The future of the field of communication lies in the ability to produce a socially relevant scholarship, without which the field is unlikely to attract the best students, command significant societal resources, or make its greatest contributions to the world's store of knowledge. This volume presents a report of the first discipline-wide, nationally sponsored communication research conference in 20 years--the Tampa Conference on Applied Communication. As the next millennium approaches, the communication field will be challenged to take its place among the disciplines whose research makes a substantial contribution to the well-being of society. How the communication field should respond to that challenge was the focus of the conference and this volume. Crossing all disciplinary boundaries, "Applied Communication in the 21st Century" addresses issues of concern to all scholars in the communication field, regardless of their various subareas, and includes the recommendation of the conferees concerning issues and responsibilities of the field, research priorities, and graduate education.

This text explores what speech, music and other sounds have in common. It gives a description of the way perspective, rhythm, textual quality and other aspects of sound are used to communicate emotion and meaning. It draws on a wealth of examples from radio (disc jockey and newsreading speech, radio plays, advertising jingles, news signature tunes), film soundtracks, such as The Piano, The X Files and Disney animation films, music ranging from medieval plain chant to drum'n'bass, and everyday soundscapes.

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.

This book presents the latest information on both the theory and applications of networks, especially from the fields of transportation and communication, economics and human knowledge handling. It demonstrates that networks are of broad interest and that networks analysis from different disciplines offer unifying insight. Special attention is paid to networks in the ever increasing integration of Europe. Another point of focus is upon combinatorial aspects and the interactive effects between different networks, often known as synergetics.

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.

This book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science.

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.

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.

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 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.

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.

Written in the 1980s by one of the fathers of chaos theory, Otto E. Roessler, the manuscript presented in this volume eventually never got published. Almost 40 years later, it remains astonishingly at the forefront of knowledge about chaos theory and many of the examples discussed have never been published elsewhere. The manuscript has now been edited by Christophe Letellier - involved in chaos theory for almost three decades himself, as well as being active in the history of sciences - with a minimum of changes to the original text. Finally released for the benefit of specialists and non-specialists alike, this book is equally interesting from the historical and the scientific points of view: an unconventionally modern approach to chaos theory, it can be read as a classic introduction and short monograph as well as a collection of original insights into advanced topics from this field.

"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

This book presents a new approach for the analysis of chaotic behavior in non-linear dynamical systems, in which output can be represented in quaternion parametrization. It offers a new family of methods for the analysis of chaos in the quaternion domain along with extensive numerical experiments performed on human motion data and artificial data. All methods and algorithms are designed to allow detection of deterministic chaos behavior in quaternion data representing the rotation of a body in 3D space. This book is an excellent reference for engineers, researchers, and postgraduate students conducting research on human gait analysis, healthcare informatics, dynamical systems with deterministic chaos or time series analysis.