Information And Information Flow

The logic of information flow has applications in both computer science and natural language processing and is a growing area within mathematical and philosophical logic.

Information is a central topic in computer science, cognitive science and philosophy. Drawing on ideas from these subjects, this book addresses the definition and place of information in society.

This book presents a comprehensive mathematical theory that explains precisely what information flow is, how it can be assessed quantitatively – so bringing precise meaning to the intuition that certain information leaks are small enough to be tolerated – and how systems can be constructed that achieve rigorous, quantitative information-flow guarantees in those terms. It addresses the fundamental challenge that functional and practical requirements frequently conflict with the goal of preserving confidentiality, making perfect security unattainable. Topics include: a systematic presentation of how unwanted information flow, i.e., "leaks", can be quantified in operationally significant ways and then bounded, both with respect to estimated benefit for an attacking adversary and by comparisons between alternative implementations; a detailed study of capacity, refinement, and Dalenius leakage, supporting robust leakage assessments; a unification of information-theoretic channels and information-leaking sequential programs within the same framework; and a collection of case studies, showing how the theory can be applied to interesting realistic scenarios. The text is unified, self-contained and comprehensive, accessible to students and researchers with some knowledge of discrete probability and undergraduate mathematics, and contains exercises to facilitate its use as a course textbook.

This book provides a framework for integrating information management in supply chains. Current trends in business practice have made it necessary to explore the potential held by information integration with regard to environmental aspects. Information flow integration provides an opportunity to focus on the creation of a more “green” supply chain. However, it is currently difficult to identify the impact of information integration on greening a supply chain in a wide range of practical applications. Accordingly, this book focuses on the potential value of information integration solutions in terms of greening supply chain management. It covers the following major topics: Application of information flow standards in the supply chain Information systems and technological solutions for integrating information flows in supply chains The Internet of Things and the industry 4.0 concept, with regard to the integration of supply chains Modeling and simulation of logistics processes Decision-making tools enabling the greening of supply chains

With information comes responsibility: a responsibility to use information according to appropriate restrictions. Forced by regulations and public sentiment, technology companies are increasing the transparency of how personal data is used, allowing users to make more fine-grained decisions on how and where their information should flow. Work over the last four decades has led to the term Information flow properties being introduced. These can express complex restrictions on data usage by specifying how sensitive data may flow throughout computation. In this monograph the authors match the demand of the digital society for expressing complex data-usage restrictions with the supply of information flow properties proposed in the literature. For the first time ever, the authors perform a large-scale systematization of such information flow properties. In doing so, they survey the wide variety of information flow properties that have been formulated within the last four decades, compare their expressive power, and suggest research directions for a faster convergence between future technological demand and literature supply. This concise overview of such a diverse topic provides the reader with an invaluable reference when implementing security technologies into all types of information systems. It is particularly useful for students, researchers and practitioners working on modern day information security problems.

The Internet has been integral to the globalization of a range of goods and production, from intellectual property and scientific research to political discourse and cultural symbols. Yet the ease with which it allows information to flow at a global level presents enormous regulatory challenges. Understanding if, when, and how the law should regulate online, international flows of information requires a firm grasp of past, present, and future patterns of information flow, and their political, economic, social, and cultural consequences. In The Global Flow of Information, specialists from law, economics, public policy, international studies, and other disciplines probe the issues that lie at the intersection of globalization, law, and technology, and pay particular attention to the wider contextual question of Internet regulation in a globalized world. While individual essays examine everything from the pharmaceutical industry to television to “information warfare” against suspected enemies of the state, all contributors address the fundamental question of whether or not the flow of information across national borders can be controlled, and what role the law should play in regulating global information flows. Contributors: Frederick M. Abbott, C. Edwin Baker, Jack M. Balkin, Dan L. Burk, Miguel Angel Centeno, Dorothy E. Denning, James Der Derian, Daniel W. Drezner, Jeremy M. Kaplan, Eddan Katz, Stanley N. Katz, Lawrence Liang, Eli Noam, John G. Palfrey, Jr., Victoria Reyes, and Ramesh Subramanian

This book is conceived as an introductory text into the theory of syntactic and semantic information, and information flow. Syntactic information theory is concerned with the information contained in the very fact that some signal has a non-random structure. Semantic information theory is concerned with the meaning or information content of messages and the like. The theory of information flow is concerned with deriving some piece of information from another. The main part will take us to situation semantics as a foundation of modern approaches in information theory. We give a brief overview of the background theory and then explain the concepts of information, information architecture and information flow from that perspective.

Chemical Process Structures and Information Flows focuses on the role of computers in the understanding of chemical processes, including the use of simulation and optimization in computational problems. The book first underscores graphs and digraphs and pipeline networks. Discussions focus on cutsets and connectivity, directed graphs, trees and circuits, matrix representation of digraphs and graphs, reachability matrix, alternative problem formulations and specifications, and steady state conditions in cyclic networks. The manuscript also ponders on computation sequence in process flowsheet calculations and sparse matrix computation. The publication examines scheduling and design of batch plants, including scheduling of products and operations, characteristics of batch processes, branch and bound methods, and multipurpose batch plants. The text also elaborates on observability and redundancy and process data reconciliation and rectification. The manuscript is a valuable reference for chemical engineering students and readers interested in chemical processes and information flow.