Information and Meaning is the third book in a trilogy exploring the nature of information, intelligence and meaning. It begins by providing an overview of the first two works of the trilogy, then goes on to consider the meaning of meaning. This explorat ion leads to a theory of how the brain works. This book differs from others in the field, in that it is written from the perspective of a theoretical biologist looking at the evolution of information systems as a basis for studying the phenomena of information, intelligence and meaning. It describes how neurons create a brain which understands information inputs and then is able to operate on such information.

Many governments are pursuing with relentless vigor a neoconservative/transnational corporate program of globalization, privatization, deregulation, cutbacks to social programs, and downsizing of the public sector. Countries are forming into giant "free trade" blocs. Increasingly they lack the will and desire to resist encroachments of world "superculture". Furthermore, they encourage heightened commoditization of information and knowledge, for instance through provisions in bilateral and multilateral trade treaties. The analytical underpinning and ideological justification for this neoconservative/transnational corporate policy agenda is mainstream (neo-classical) economics.

Focusing on the centrality of information/communication to economic and ecological processes, "Communication and the Transformation of Economics" cuts at the philosophical/ideological root of this neoconservative policy agenda. Mainstream economics assumes a commodity status for information, even though information is indivisible, subjective, shared, and intangible. Information, in other words, is quite ill-suited to commodity treatment. Likewise, neoclassicism posits communication as comprising merely acts of commodity exchange, thereby ignoring gift relations; dialogic interactions; the cumulative, transformative properties of all informational interchange; and the social or community context within which communicative action takes place.

Continuing in the tradition of writers such as Russel Wallace, Thorstein Veblen, Karl Polyani, E. F. Schumacher, Kenneth E. Boulding, and Herman Daly, Robert Babe proposes infusing mainstream economics with realistic and expansive conceptions of information/communication in order to better comprehend twenty-first-century issues and progress toward a more sustainable, more just, and more democratic economic/communicatory order.

There is a need for general theoretical principles describing/explaining effective design -- those which demonstrate "unity" and enhance comprehension and usability. Theories of cohesion from linguistics and of comprehension in psychology are likely sources of such general principles. Unfortunately, linguistic approaches to discourse unity have focused exclusively on semantic elements such as synonymy or anaphora, and have ignored other linguistic elements such as syntactic parallelism and phonological alliteration. They have also overlooked the non-linguistic elements -- visual factors such as typography or color, and auditory components such as pitch or duration. In addition, linguistic approaches have met with criticism because they have failed to explain the relationship between semantic cohesive elements and coherence. On the other hand, psychological approaches to discourse comprehension have considered the impact of a wider range of discourse elements -- typographical cuing of key terms to enhance comprehension -- but have failed to provide general theoretical explanations for such observations.
This volume uses Gestalt theory to provide general principles for predicting one aspect of coherence -- that of continuity -- across the entire range of discourse elements, and also to outline the relationship between cohesion and coherence. The theoretical core of this book argues that the cognitive principles that explain why humans "sense" unity in a succession of sounds (a whole musical piece) or in a configuration of visual shapes (a complete object) are the basis of principles which explain why we "sense" unity in oral, written, and electronically produced documents.

This book is written in honour of Professor Lars H. Zetterberg, who is the pioneer of information and coding theory in Sweden, and his direct and indirect influence on the evaluation in Sweden of these topics is quite considerable. The various contributions give overviews of different topics within the area of coding theory. Each covers a speciality where - in most cases - good overviews are not easily available. The five papers together provide a good and representative sample of Swedish research activities within the field of coding theory.

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.

This largely self-contained book on the theory of quantum information focuses on precise mathematical formulations and proofs of fundamental facts that form the foundation of the subject. It is intended for graduate students and researchers in mathematics, computer science, and theoretical physics seeking to develop a thorough understanding of key results, proof techniques, and methodologies that are relevant to a wide range of research topics within the theory of quantum information and computation. The book is accessible to readers with an understanding of basic mathematics, including linear algebra, mathematical analysis, and probability theory. An introductory chapter summarizes these necessary mathematical prerequisites, and starting from this foundation, the book includes clear and complete proofs of all results it presents. Each subsequent chapter includes challenging exercises intended to help readers to develop their own skills for discovering proofs concerning the theory of quantum information.

Erst die elektronische Signatur wird dem E-Commerce zum Durchbruch verhelfen. Dieses Werk setzt sich mit den Akzeptanzproblemen auseinander, die beim Einsatz moderner Technologien fur die vertrauenswurdige elektronische Kommunikation entstehen. Rechtliche Fragen spielen hier eine wichtige Rolle, aber auch Moral und Kultur. Die Situation in diesen Bereichen wird im Buch diskutiert und daraus Handlungsempfehlungen fur den Verbraucher- und Datenschutz, die technische Ausgestaltung sowie den Umgang mit Risiken gegeben. Dies fuhrt zu einem visionaren Modell der Informationsgesellschaft.

Wahrend die Kryptologie Konzepte und Methoden aus der Komplexitatstheorie verwendet, ist die Forschung in der Komplexitatstheorie wiederum oft durch Fragen aus der Kryptologie motiviert. Der Band hebt die enge Verflechtung dieser beiden Gebiete hervor und fuhrt auf verstandlicher Weise in das faszinierende Gebiet der Kryptokomplexitat" ein. Das Buch enthalt zahlreiche Abbildungen und Ubungsaufgaben sowie ein ausfuhrliches Stichwort- und Literaturverzeichnis. Es eignet sich fur Studierende der Informatik, Mathematik oder Ingenieurswissenschaften."

This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This first volume, Foundations, introduces core topics in inference and learning, such as matrix theory, linear algebra, random variables, convex optimization and stochastic optimization, and prepares students for studying their practical application in later volumes. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 600 end-of-chapter problems (including solutions for instructors), 100 figures, 180 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Inference and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.

"Beautiful Data" is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our forms of attention, observation, and truth are contingent and contested, Orit Halpern historicizes the ways that we are trained, and train ourselves, to observe and analyze the world. Tracing the postwar impact of cybernetics and the communication sciences on the social and human sciences, design, arts, and urban planning, she finds a radical shift in attitudes toward recording and displaying information. These changed attitudes produced what she calls communicative objectivity: new forms of observation, rationality, and economy based on the management and analysis of data. Halpern complicates assumptions about the value of data and visualization, arguing that changes in how we manage and train perception, and define reason and intelligence, are also transformations in governmentality. She also challenges the paradoxical belief that we are experiencing a crisis of attention caused by digital media, a crisis that can be resolved only through intensified media consumption.

Developing many of the major, exciting, pre- and post-millennium developments from the ground up, this book is an ideal entry point for graduate students into quantum information theory. Significant attention is given to quantum mechanics for quantum information theory, and careful studies of the important protocols of teleportation, superdense coding, and entanglement distribution are presented. In this new edition, readers can expect to find over 100 pages of new material, including detailed discussions of Bell's theorem, the CHSH game, Tsirelson's theorem, the axiomatic approach to quantum channels, the definition of the diamond norm and its interpretation, and a proof of the Choi-Kraus theorem. Discussion of the importance of the quantum dynamic capacity formula has been completely revised, and many new exercises and references have been added. This new edition will be welcomed by the upcoming generation of quantum information theorists and the already established community of classical information theorists.

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.

Information is central to the evolution of biological complexity, a physical system relying on a continuous supply of energy. Biology provides superb examples of the consequent Darwinian selection of mechanisms for efficient energy utilisation. Genetic information, underpinned by the Watson-Crick base-pairing rules is largely encoded by DNA, a molecule uniquely adapted to its roles in information storage and utilisation.This volume addresses two fundamental questions. Firstly, what properties of the molecule have enabled it to become the predominant genetic material in the biological world today and secondly, to what extent have the informational properties of the molecule contributed to the expansion of biological diversity and the stability of ecosystems. The author argues that bringing these two seemingly unrelated topics together enables Schroedinger's What is Life?, published before the structure of DNA was known, to be revisited and his ideas examined in the context of our current biological understanding.

This is the first full-length book on the major theme of symmetry in graphs. Forming part of algebraic graph theory, this fast-growing field is concerned with the study of highly symmetric graphs, particularly vertex-transitive graphs, and other combinatorial structures, primarily by group-theoretic techniques. In practice the street goes both ways and these investigations shed new light on permutation groups and related algebraic structures. The book assumes a first course in graph theory and group theory but no specialized knowledge of the theory of permutation groups or vertex-transitive graphs. It begins with the basic material before introducing the field's major problems and most active research themes in order to motivate the detailed discussion of individual topics that follows. Featuring many examples and over 450 exercises, it is an essential introduction to the field for graduate students and a valuable addition to any algebraic graph theorist's bookshelf.

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis. Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms. Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap. Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

Luciano Floridi presents an innovative approach to philosophy, conceived as conceptual design. He explores how we make, transform, refine, and improve the objects of our knowledge. His starting point is that reality provides the data, to be understood as constraining affordances, and we transform them into information, like semantic engines. Such transformation or repurposing is not equivalent to portraying, or picturing, or photographing, or photocopying anything. It is more like cooking: the dish does not represent the ingredients, it uses them to make something else out of them, yet the reality of the dish and its properties hugely depend on the reality and the properties of the ingredients. Models are not representations understood as pictures, but interpretations understood as data elaborations, of systems. Thus, he articulates and defends the thesis that knowledge is design and philosophy is the ultimate form of conceptual design. Although entirely independent of Floridi's previous books, The Philosophy of Information (OUP 2011) and The Ethics of Information (OUP 2013), The Logic of Information both complements the existing volumes and presents new work on the foundations of the philosophy of information.

This book is a history of the future. It shows how our contemporary understanding of the Internet is shaped by visions of the future that were put together in the 1950s and 1960s. At the height of the Cold War, the Americans invented the only working model of communism in human history: the Internet. Yet, for all of its libertarian potential, the goal of this hi-tech project was geopolitical dominance: the ownership of time was control over the destiny of humanity. The potentially subversive theory of cybernetics was transformed into the military-friendly project of 'artificial intelligence'. Capitalist growth became the fastest route to the 'information society'. The rest of the world was expected to follow America's path into the networked future. Today, we're still being told that the Internet is creating the information society - and that America today is everywhere else tomorrow. Thankfully, at the beginning of the twenty-first century, the DIY ethic of the Internet shows that people can resist these authoritarian prophecies by shaping information technologies in their own interest. Ultimately, if we don't want the future to be what it used to be, we must invent our own, improved and truly revolutionary future.

This book provides readers the idea of systemically synthesizing various kind of knowledge, which needs to combine analytical thinking and synthetic thinking. Systems science is expected to help in solving contemporary complex problems, utilizing interdisciplinary knowledge effectively and combining analytical thinking and synthetic thinking efficiently. However, traditional systems science has been divided into two schools: one seeks a systematic procedure to give a correct objective answer; the other develops an emergent, systemic process so that the user can continue exploratory learning. It is not an exaggeration to say that analytical thinking and synthetic thinking have been developed independently, in different schools. This book integrates approaches developed in these two schools, using ideas in knowledge science that have been emerging recently under the influence of Eastern thinking. It emphasizes the importance of utilizing intuition in systems approaches, whereas other books usually try to solve problems rationally and objectively, rejecting subjectivity. This book never denies rationality and objectivity; however, complex problems of today do not always yield to complete analysis. The novelty of this present volume is that it takes in the ideas of synthetic thinking in knowledge science to develop systems science further. The chapter contributors, who are experienced systems scientists with a profound understanding of knowledge management, discuss knowledge synthesis from the Western and Eastern cultural perspectives. The book introduces a theory on systemic knowledge synthesis in an odd chapter and then presents an application of the theory in the next chapter in order to contribute to developing translational systems science.

How is cultural identity accomplished interactively? What happens when different cultural identities contact one another? This book presents a series of papers, from classic essays to original expositions, which respond to these questions. The view of communication offered here -- rather than ignoring culture, or making it a variable in an equation -- is based on cultural patterns and situated communication practices, unveiling the multiplicity of factors involved in particular times and places.
The contributors to this unusual volume represent a wide range of fields. Their equally diverse offerings will serve to clarify cultural distinctiveness in some communication phenomena, and lay groundwork for the identification of cross-cultural generalities in others.

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

Successfully communicating with people from another culture requires learning more than just their language. While fumbling a word or phrase may cause embarrassment, breaking the unspoken cultural rules that govern personal interactions can spell disaster for businesspeople, travelers, and indeed anyone who communicates across cultural boundaries. To help you avoid such damaging gaffes, Tracy Novinger has compiled this authoritative, practical guide for deciphering and following "the rules" that govern cultures, demonstrating how these rules apply to the communication issues that exist between the United States and Mexico.

Novinger begins by explaining how a major proportion of communication within a culture occurs nonverbally through behavior and manners, shared attitudes, common expectations, and so on. Then, using real-life examples and anecdotes, she pinpoints the commonly occurring obstacles to communication that can arise when cultures differ in their communication techniques. She shows how these obstacles come into play in contacts between the U.S. and Mexico and demonstrates that mastering the unspoken rules of Mexican culture is a key to cementing business and social relationships. Novinger concludes with nine effective, reliable principles for successfully communicating across cultures.

A real estate investment professional currently residing in Austin, Texas, Tracy Novinger writes from extensive research and her personal experiences of living and working in cultures as diverse as Aruba and Tahiti. She was born in the Caribbean, studied in Brazilian schools, speaks several languages, has traveled extensively, and has a master's degree in communications.

Information is a key issuein decision making in economics and business. Being 'in the know' confers strategic advantages to people, allowing them to lie and/or cheat on their uninformed opponents. However, itis possible that all sides end up worse off in such situations, compared with the likely outcome under full information.

This new text is designed to take students through the key issues to give an understanding of the impact of imperfect and asymmetric information in an economic context. At each stage Molho analyses and explains the key points using clear models that set the outcome under imperfect information against that under full information. The book is divided into four major sections covering:
Adverse selection.
Signalling.
Moral hazard.
Mechanical design under imperfect information.

Each section also covers experimental studies that test the predictions of theory. This text is aimed mainly at undergraduate students and gives an accessible introduction to this crucial area of economic theory.