The Joy of Computers

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Vladimir S. Lerner

The Variation Principle In Informational Macrodynamics (VP) introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechanisms formalize the regularities of the cooperative informational dynamics, connecting randomness and regularities, stochastic and determinism, reversibility and irreversibility, symmetry and nonsymmetry, stability and instability, regular and chaotic dynamics, thermodynamics and informational dynamics, time-reversible and time-irreversible processes, reveals the information dynamic mechanisms of evolution and development. The mathematical formalisms and methods, implemented in the forms of computer models, algorithms and programs, provide new general tools for Information Systems' Modeling in such areas as biology, intelligent systems, computer and information technology, including communications, data modeling and data management. Variation Principle In Informational Macrodynamics, with its examples and applications, will meet the needs of a professional audience composed of researchers and practitioners in industry, as well as graduate-level students in computer science, mathematics and engineering.

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Tibor Csendes

The present volume contains 30 articles presented at SCAN-98, Budapest, Hungary. These papers cover all aspects of validation techniques in scientific computing, ranging from hardware requirements, elementary operations, high accuracy function evaluations and interval arithmetic to advanced validating techniques and applications in various fields of practical interest. Audience: This book is of interest to researchers and graduate students whose work involves validation techniques in scientific computing.

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Witold Pedrycz

Granular Computing is concerned with constructing and processing carried out at the level of information granules. Using information granules, we comprehend the world and interact with it, no matter which intelligent endeavor this may involve. The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment. This volume is a first comprehensive treatment of this emerging paradigm and embraces its fundamentals, underlying methodological framework, and a sound algorithmic environment. The panoply of applications covered includes system identification, telecommunications, linguistics and music processing. Written by experts in the field, this volume will appeal to all developing intelligent systems, either working at the methodological level or interested in detailed system realization.

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Sean W. Smith

How can one trust computation taking place at a remote site, particularly if a party at that site might have motivation to subvert this trust? In recent years, industrial efforts have advanced the notion of a "trusted computing platform" as a building block. Through a conspiracy of hardware and software magic, these platforms attempt to solve this remote trust problem, to preserve various critical properties against various types of adversaries. However, these current efforts are just points on a larger continuum, which ranges from earlier work on secure coprocessor design and applications, through TCPA/TCG, to recent academic developments. Without wading through stacks of theses and research literature, the general computer science reader cannot see this big picture. Trusted Computing Platforms:Design and Applications fills this gap. Starting with early prototypes and proposed applications, this book surveys the longer history of amplifying small amounts of hardware security into broader system security---and reports real case study experience with security architecture and applications on multiple types of platforms. The author examines the theory, design, implementation of the IBM 4758 secure coprocessor platform and discusses real case study applications that exploit the unique capabilities of this platform. The author discusses how these foundations grow into newer industrial designs, and discusses alternate architectures and case studies of applications that this newer hardware can enable. The author closes with an examination of more recent cutting-edge experimental work in this area. Trusted Computing Platforms:Design and Applications is written for security architects, application designers, and the general computer scientist interested in the evolution and uses of this emerging technology.