Cybernetical physics borrows methods from both theoretical physics and control engineering. It deals with the control of complex systems is one of the most important aspects in dealing with systems exhibiting nonlinear behavior or similar features that defy traditional control techniques. This book fully details this new discipline.
This book is a concise navigator across the history of cybernetics, its state-of-the-art and prospects. The evolution of cybernetics (from N. Wiener to the present day) and the reasons of its ups and downs are presented. The correlation of cybernetics with the philosophy and methodology of control, as well as with system theory and systems analysis is clearly demonstrated. The book presents a detailed analysis focusing on the modern trends of research in cybernetics. A new development stage of cybernetics (the so-called cybernetics 2.0) is discussed as a science on general regularities of systems organization and control. The author substantiates the topicality of elaborating a new branch of cybernetics, i.e. organization theory which studies an organization as a property, process and system. The book is intended for theoreticians and practitioners, as well as for students, postgraduates and doctoral candidates. In the first place, the target audience includes tutors and lecturers preparing courses on cybernetics, control theory and systems science.
The ?rst IFIP Workshop on Autonomic Communication (WAC 2004) was held 18–19 October 2004 in Berlin, Germany. The workshop was organized by Fra- hofer FOKUS with the help of partners of the EU-funded Autonomic Com- nication Coordination Action — IST-6475 (ACCA), and under technical sp- sorship of IFIP WG6. 6 — Management of Networks and Distributed Systems. The purpose of this workshop was to discuss Autonomic Communication—a new communication paradigm to assist the design of the next-generation n- works. WAC 2004 was explicitly focused on the principles that help to achieve purposeful behavior on top of self-organization (self-management, self-healing, self-awareness, etc. ). The workshop intended to derive these common principles from submissions that study network element’s autonomic behavior exposed by innovative (cross-layer optimized, context-aware, and securely programmable) protocol stack (or its middleware emulations) in its interaction with numerous, often dynamic network groups and communities. The goals were to understand how autonomic behaviors are learned, in?uenced or changed, and how, in turn, these a?ect other elements, groups and the network. The highly interactive and exploratory nature of WAC 2004 de?ned its format — six main sessions grouped in three blocks, each block followed by a panel with all speakers of the previous block as panellists and session chairs as panel moderators. The?rstpanelaimedtohighlightthemainprinciplesguidingresearchinal- rithms,protocolsandmiddleware;thesecondpanelinvestigatedgrandchallenges of network and service composition; the third panel had to answer the question “HowDoestheAutonomicNetworkInteractwiththeKnowledgePlane?”. Panel reports were compiled by panel moderators and conclude this volume.
Control theory, an interdisciplinary concept dealing with the behaviour of dynamical systems, is an important but often overlooked aspect of physics. This is the first broad and complete treatment of the topic tailored for physicists, one which goes from the basics right through to the most recent advances. Simple examples develop a deep understanding and intuition for the systematic principles of control theory, beyond the recipes given in standard engineering-focused texts. Up-to-date coverage of control of networks and complex systems, and a thorough discussion of the fundamental limits of control, including the limitations placed by causality, information theory, and thermodynamics are included. In addition it explores important recent advances in stochastic thermodynamics on the thermodynamic costs of information processing and control. For all students of physics interested in control theory, this classroom-tested, comprehensive approach to the topic with online solutions and further materials delivers both fundamental principles and current developments.
This book draws together the most interesting recent results to emerge in mechanical engineering in Russia, providing a fascinating overview of the state of the art in the field in that country which will be of interest to a wide readership. A broad range of topics and issues in modern engineering is discussed, including dynamics of machines, materials engineering, structural strength and tribological behavior, transport technologies, machinery quality and innovations. The book comprises selected papers presented at the 10th conference "Modern Engineering: Science and Education", held at the Saint Petersburg State Polytechnic University in June 2021 with the support of the Russian Engineering Union. The authors are experts in various fields of engineering, and all of the papers have been carefully reviewed. The book will be of interest to mechanical engineers, lecturers in engineering disciplines and engineering graduates.
The book is intended for all those who are interested in application problems related to dynamical systems. It provides an overview of recent findings on dynamical systems in the broadest sense. Divided into 46 contributed chapters, it addresses a diverse range of problems. The issues discussed include: Finite Element Analysis of optomechatronic choppers with rotational shafts; computational based constrained dynamics generation for a model of a crane with compliant support; model of a kinetic energy recuperation system for city buses; energy accumulation in mechanical resonance; hysteretic properties of shell dampers; modeling a water hammer with quasi-steady and unsteady friction in viscoelastic conduits; application of time-frequency methods for the assessment of gas metal arc welding conditions; non-linear modeling of the human body’s dynamic load; experimental evaluation of mathematical and artificial neural network modeling for energy storage systems; interaction of bridge cables and wake in vortex-induced vibrations; and the Sommerfeld effect in a single DOF spring-mass-damper system with non-ideal excitation.
The study of physics has changed in character, mainly due to the passage from the analyses of linear systems to the analyses of nonlinear systems. Such a change began, it goes without saying, a long time ago but the qualitative change took place and boldly evolved after the understanding of the nature of chaos in nonlinear s- tems. The importance of these systems is due to the fact that the major part of physical reality is nonlinear. Linearity appears as a result of the simpli?cation of real systems, and often, is hardly achievable during the experimental studies. In this book, we focus our attention on some general phenomena, naturally linked with nonlinearity where chaos plays a constructive part. The ?rst chapter discusses the concept of chaos. It attempts to describe the me- ing of chaos according to the current understanding of it in physics and mat- matics. The content of this chapter is essential to understand the nature of chaos and its appearance in deterministic physical systems. Using the Turing machine, we formulate the concept of complexity according to Kolmogorov. Further, we state the algorithmic theory of Kolmogorov–Martin-Lof ̈ randomness, which gives a deep understanding of the nature of deterministic chaos. Readers will not need any advanced knowledge to understand it and all the necessary facts and de?nitions will be explained.
This book argues that cybersecurity’s informational ontology offers empirical challenges, and introduces a new interdisciplinary theoretical and conceptual framework of ‘entropic security’. Cyber-attacks have been growing exponentially in number and sophistication; ranging from those conducted by non-state actors to state-backed cyber-attacks. Accordingly, cybersecurity now constitutes an integral part of public, private, and academic discourses on contemporary (in)security. Yet, because its emergence as a novel security field occurred after many long-established frameworks had already been developed, cybersecurity has been repeatedly scrutinised for its compatibility with conventional security theories, concepts, and understandings, particularly with that of military security. This book, however, argues that cybersecurity differs profoundly from many other security sectors because of the ontological nature of ‘information’ that sits at the heart of this field. Through this new framework, the book investigates three key empirical challenges in cybersecurity that are co-produced by its informational ontology: (1) the disordered nature of cybersecurity and its tendency towards increasing insecurity as a manifestation of the intrinsic uncertainties in information systems; (2) the unpredictable and unintended consequences resulting from autonomous cyber-attacks that challenge human control of cybersecurity environments; and (3) the persistent harms engendered by ‘mundane’ cyber threats that do not fit within conventional understandings of existentiality in security theories. Through a detailed analysis of cybersecurity discourses and practices in the USA (2003-present), the book goes on to show how these complex cybersecurity challenges are better analysed and theorised through the new information-theoretic notion of ‘entropic security’. This book will be of much interest to students of cyber-security, critical security studies, science and technology studies and International Relations in general.
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Cybernetic Revelation explores the dual philosophical histories of deconstruction and artificial intelligence, tracing the development of concepts like the "logos" and the notion of modeling the mind technologically from pre-history to contemporary thinkers like Slavoj Žižek, Steven Pinker, Bernard Stiegler and Daniel C. Dennett. The writing is clear and accessible throughout, yet the text probes deeply into major philosophers seen by JD Casten as "conceptual engineers." Philosophers covered include: Anaximander, Heraclitus, Parmenides, Plato, Aristotle, Philo, Augustine, Shakespeare, Descartes, Spinoza, Leibniz, Locke, Berkeley, Hume, Kant, Hegel, Nietzsche, Freud, Jung, Joyce, Dewey, Wittgenstein, Heidegger, Adorno, Benjamin, Derrida, Chomsky, Žižek, Pinker, Dennett, Hofstadter, Stiegler + more; with special chapters on: AI's history, Complexity, Deconstructing AI, Aesthetics, Consciousness + more...