Georges Sorel’s Study on Vico is a revelatory document of the depths and stakes of French social thought at the end of the 19th century. What brought Sorel to the 18th century Neapolitan theorist of history? Acute awareness of the limitations of Marxist thought in his day, a profound concern with the material underpinnings of language, law, and culture, and the imperative to understand the possibilities of revolutionary change. We find here a different Sorel, one who speaks in surprising ways to the 21st century. The translation is accompanied by an introduction and by a set of notes which situate the text both in Sorel’s overall intellectual trajectory and in the fin de siècle debates from which it emerged.
Psychopathology: An Empathic Representational Approach retraces the foundations of classical phenomenological psychopathology and integrates them with modern ideas drawn from anthropology, cognitive neuroscience, computational science, and evolutionary biology to synthesize a comprehensive framework and provide fresh insights. This book explores how the scientific concepts of ‘information and representation’ can be used to understand subjective mental phenomena and integrate them in empathic clinical dialogues during interactions with patients. It explores key issues in clinical psychopathology coherently and systematically, illustrates advanced topics in an accessible manner using clinical case examples, metaphors and clarifying diagrams, and directly links advanced conceptual frameworks with pragmatic skills in the clinical dialogue process. This volume is aimed at a broad audience of mental health professionals, researchers, and students in psychiatry, psychology, and social work. Its interdisciplinary treatment of the subject will also interest biologists, anthropologists, cognitive psychologists, neuroscientists, and philosophers. ‘In this tour de force, Eric Chen integrates philosophical perspectives with current themes in brain sciences to explain how we experience our environments, ourselves, and each other. An exhilarating framework for modern psychopathological inquiry, this is a must-read for anyone curious about the mind and how it can go awry.’ —Peter B. Jones, Professor of Psychiatry, University of Cambridge ‘Eric Chen has created a work that conceptually connects psychopathology to relevant disciplines in biology, evolution, cognition, linguistics, clinical psychiatry, and computational/information domains. It will certainly encourage in-depth reflections and stimulate research in clinical psychopathology.’ —Peter Falkai, Chair of Psychiatry and Psychotherapy, University of Munich ‘In the face of social, cultural, and biological changes, psychopathology needs periodic revision. Professor Chen addresses the complexities of this unique task with an original and scholarly approach that will stimulate both clinicians and researchers.’ —Ivana S. Marková, Professor of Psychiatry, University of Hull
For over one hundred and fifty years G.W.F. Hegel’s ghost has haunted theoretical understanding and practice. His opponents first, and later his defenders, have equally defined their programs against and with his. In this way Hegel’s political thought has both situated and displaced modern political theorizing. This book takes the reception of Hegel’s political thought as a lens through which contemporary methodological and ideological prerogatives are exposed. It traces the nineteenth century origins of the positivist revolt against Hegel’s legacy forward to political science’s turn away from philosophical tradition in the twentieth century. The book critically reviews the subsequent revisionist trend that has eliminated his metaphysics from contemporary considerations of his political thought. It then moves to re-evaluate their relation and defend their inseparability in his major work on politics: the Philosophy of Right. Against this background, the book concludes with an argument for the inherent metaphysical dimension of political theorizing itself. Goodfield takes Hegel’s reception, representation, as well as rejection in Anglo-American scholarship as a mirror in which its metaphysical presuppositions of the political are exceptionally well reflected. It is through such reflection, he argues, that we may begin to come to terms with them. This book will be of great interest to students, scholars, and readers of political theory and philosophy, Hegel, metaphysics and the philosophy of the social sciences.
This volume offers an overview of the philosophy of cognitive science that balances breadth and depth, with chapters covering every aspect of the psychology and cognitive anthropology.
A psychologist and a philosopher with opposing viewpoints discuss the extent to which it is possible to report accurately on our own conscious experience, considering both the reliability of introspection in general and the particular self-reported inner experiences of "Melanie," a subject interviewed using the Descriptive Experience Sampling method. Can conscious experience be described accurately? Can we give reliable accounts of our sensory experiences and pains, our inner speech and imagery, our felt emotions? The question is central not only to our humanistic understanding of who we are but also to the burgeoning scientific field of consciousness studies. The two authors of Describing Inner Experience disagree on the answer: Russell Hurlburt, a psychologist, argues that improved methods of introspective reporting make accurate accounts of inner experience possible; Eric Schwitzgebel, a philosopher, believes that any introspective reporting is inevitably prone to error. In this book the two discuss to what extent it is possible to describe our inner experience accurately. Hurlburt and Schwitzgebel recruited a subject, "Melanie," to report on her conscious experience using Hurlburt's Descriptive Experience Sampling method (in which the subject is cued by random beeps to describe her conscious experience). The heart of the book is Melanie's accounts, Hurlburt and Schwitzgebel's interviews with her, and their subsequent discussions while studying the transcripts of the interviews. In this way the authors' dispute about the general reliability of introspective reporting is steadily tempered by specific debates about the extent to which Melanie's particular reports are believable. Transcripts and audio files of the interviews will be available on the MIT Press website. Describing Inner Experience? is not so much a debate as it is a collaboration, with each author seeking to refine his position and to replace partisanship with balanced critical judgment. The result is an illumination of major issues in the study of consciousness—from two sides at once.
Augustine—for all of his influence on Western culture and politics—was hardly a liberal. Drawing from theology, feminist theory, and political philosophy, Eric Gregory offers here a liberal ethics of citizenship, one less susceptible to anti-liberal critics because it is informed by the Augustinian tradition. The result is a book that expands Augustinian imaginations for liberalism and liberal imaginations for Augustinianism. Gregory examines a broad range of Augustine’s texts and their reception in different disciplines and identifies two classical themes which have analogues in secular political theory: love—and related notions of care, solidarity, and sympathy—and sin—as well as related notions of cruelty, evil, and narrow self-interest. From an Augustinian point of view, Gregory argues, love and sin constrain each other in ways that yield a distinctive vision of the limits and possibilities of politics. In providing a constructive argument for Christian participation in liberal democratic societies, Gregory advances efforts to revive a political theology in which love’s relation to justice is prominent. Politics and the Order of Love will provoke new conversations for those interested in Christian ethics, moral psychology, and the role of religion in a liberal society.
These essays propose “a new and richly detailed engagement between Judaism and the political” (Jewish Book World). Judaism, Liberalism, and Political Theology provides the first broad encounter between modern Jewish thought and recent developments in political theology, arguing in opposition to impetuous associations of Judaism and liberalism and charges that Judaism cannot engender a universal political order. The vexed status of liberalism in Jewish thought and Judaism in political theology is interrogated with recourse to thinking from across the Continental tradition. “This collection of essays, which examines political theology from the distinct perspective of Jewish philosophy, could not be timelier or more useful for scholars and students navigating what is often viewed as very dense and difficult material.”—Claire Elise Katz, Texas A&M University
No one can avoid gray hair and wrinkles, but what about preventing the brain from aging? Dr. Eric Braverman, "America's Brain Doctor" and bestselling author has created a simple, science-based plan that can help prevent the worst mental side effects of aging: memory loss, cognitive decline, and mood changes. Dr. Braverman distills 35 years of research and clinical experience into a 6-step program that helps spur neurogenesis: growing new brain cells as one ages. By following the plan, readers can self-detect cognitive decline, reverse it, and boost the brain’s power and speed. In Younger Brain, Sharper Mind, readers will discover: The Braverman Brain Advantage Test—a fast and simple way to assess attention span, memory, and cognitive function Special foods scientifically proven to support brain function A comprehensive set of exercises—for both body and brain—designed to keep readers healthy and functioning at a high level even as the years go by
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read on Oxford Academic and offered as a free PDF download from OUP and selected open access locations. This is a broad and authoritative study of one of the central topics in the study of the mind: the origins of concepts. The authors survey the debate between rationalists and empiricists which stretches back to the very beginnings of philosophy, and has been at the centre of some of the most exciting research in cognitive science. Many have charged that the debate is riddled with confusion or that rationalist approaches, in particular, are deeply problematic. The Building Blocks of Thought offers a comprehensive rethinking of the foundations of this debate, showing that these negative appraisals are based on misunderstandings. Stephen Laurence and Eric Margolis argue that the debate should be understood to concern the nature of the unlearned psychological traits that provide the foundation for learning all concepts. They go on to argue for a version of concept nativism according to which there is a rationalist account of the origins of many concepts across many different conceptual domains. This rationalist view is developed around seven distinct arguments, drawing on a wealth of data across the cognitive sciences, which are shown to come together to form a unified large-scale argument to the best explanation for a rationalist account of the origins of concepts. Rounding out the case for concept nativism, the book contrasts this view with the most important and influential empiricist views, as well as alternative rationalist views, including Fodor's infamous radical concept nativism and his claim that concept learning is impossible. The Building Blocks of Thought argues for the enormous importance of learning and culture, showing how a thoroughly rationalist approach facilitates and enhances cultural learning and provides the foundations for the best overall account of the origins of concepts.
Partners in Wonder' explores our knowledge of women and science fiction between 1936 and 1965. It describes the distinctly different form of science fiction that females produced, one that was both more utopian and more empathetic than that of their male counterparts.
What does the name Trump stand for? If branding now rules over the production of value, as the coauthors of Sovereignty, Inc. argue, then Trump assumes the status of a master brand whose primary activity is the compulsive work of self-branding—such is the new sovereignty business in which, whether one belongs to his base or not, we are all “incorporated.” Drawing on anthropology, political theory, philosophy, psychoanalysis, and theater, William Mazzarella, Eric L. Santner, and Aaron Schuster show how politics in the age of Trump functions by mobilizing a contradictory and convoluted enjoyment, an explosive mixture of drives and fantasies that eludes existing portraits of our era. The current political moment turns out to be not so much exceptional as exceptionally revealing of the constitutive tension between enjoyment and economy that has always been a key component of the social order. Santner analyzes the collective dream-work that sustains a new sort of authoritarian charisma or mana, a mana-facturing process that keeps us riveted to an excessively carnal incorporation of sovereignty. Mazzarella examines the contemporary merger of consumer brand and political brand and the cross-contamination of politics and economics, warning against all too easy laments about the corruption of politics by marketing. Schuster, focusing on the extreme theatricality and self-satirical comedy of the present, shows how authority reasserts itself at the very moment of distrust and disillusionment in the system, profiting off its supposed decline. A dazzling diagnostic of our present, Sovereignty, Inc., forces us to come to terms with our complicity in Trump’s political presence and will immediately take its place in discussions of contemporary politics.
The COVID-19 pandemic exposed the economic inequalities pervading every aspect of society - and then multiplied them to a staggering degree. In Inequality, Class, and Economics, Eric Schutz illuminates the pillars undergirding the monstrous polarities which define our times revealing them as the structures of power that constitute the foundations of the class system of today's capitalism. Employers' power is the linchpin of that system, but the power of professionals in all fields, the power exerted by some businesses over others, political power, and the power of cultural institutions - especially mass media and education - are also critical for the class system today. Each of these social power structures is examined closely and shown both to sustain, and to be sustained by, economic inequality. Employing both traditional and novel approaches to public policy, Inequality, Class, and Economics denounces economists' studied avoidance of the problem of class as a system of inequality based in unequal opportunity, and exhorts us to tackle the heart of the problem at long last."--Back cover.
Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitative practitioners and students, providing guidance through a range of mathematical problems encountered in the finance industry. This volume focuses solely on equity derivatives problems, beginning with basic problems in derivatives securities before moving on to more advanced applications, including the construction of volatility surfaces to price exotic options. By providing a methodology for solving theoretical and practical problems, whilst explaining the limitations of financial models, this book helps readers to develop the skills they need to advance their careers. The text covers a wide range of derivatives pricing, such as European, American, Asian, Barrier and other exotic options. Extensive appendices provide a summary of important formulae from calculus, theory of probability, and differential equations, for the convenience of readers. As Volume II of the four-volume Problems and Solutions in Mathematical Finance series, this book provides clear explanation of the mathematics behind equity derivatives, in order to help readers gain a deeper understanding of their mechanics and a firmer grasp of the calculations. Review the fundamentals of equity derivatives Work through problems from basic securities to advanced exotics pricing Examine numerical methods and detailed derivations of closed-form solutions Utilise formulae for probability, differential equations, and more Mathematical finance relies on mathematical models, numerical methods, computational algorithms and simulations to make trading, hedging, and investment decisions. For the practitioners and graduate students of quantitative finance, Problems and Solutions in Mathematical Finance Volume II provides essential guidance principally towards the subject of equity derivatives.
Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to practical issues in finance. Problems and Solutions in Mathematical Finance Volume I: Stochastic Calculus is the first of a four-volume set of books focusing on problems and solutions in mathematical finance. This volume introduces the reader to the basic stochastic calculus concepts required for the study of this important subject, providing a large number of worked examples which enable the reader to build the necessary foundation for more practical orientated problems in the later volumes. Through this application and by working through the numerous examples, the reader will properly understand and appreciate the fundamentals that underpin mathematical finance. Written mainly for students, industry practitioners and those involved in teaching in this field of study, Stochastic Calculus provides a valuable reference book to complement one’s further understanding of mathematical finance.
You can get there Whether you're already working and looking to expand your skills in the computer networking and security field or setting out on a new career path, Network Security Fundamentals will help you get there. Easy-to-read, practical, and up-to-date, this text not only helps you learn network security techniques at your own pace; it helps you master the core competencies and skills you need to succeed. With this book, you will be able to: * Understand basic terminology and concepts related to security * Utilize cryptography, authentication, authorization and access control to increase your Windows, Unix or Linux network's security * Recognize and protect your network against viruses, worms, spyware, and other types of malware * Set up recovery and fault tolerance procedures to plan for the worst and to help recover if disaster strikes * Detect intrusions and use forensic analysis to investigate the nature of the attacks Network Security Fundamentals is ideal for both traditional and online courses. The accompanying Network Security Fundamentals Project Manual ISBN: 978-0-470-12798-8 is also available to help reinforce your skills. Wiley Pathways helps you achieve your goals The texts and project manuals in this series offer a coordinated curriculum for learning information technology. Learn more at www.wiley.com/go/pathways.
This volume develops a unifying approach to population studies, emphasising the interplay between modelling and experimentation. Throughout, mathematicians and biologists are provided with a framework within which population dynamics can be fully explored and understood. Aspects of population dynamics covered include birth-death and logistic processes, competition and predator-prey relationships, chaos, reaction time-delays, fluctuating environments, spatial systems, velocities of spread, epidemics, and spatial branching structures. Both deterministic and stochastic models are considered. Whilst the more theoretically orientated sections will appeal to mathematical biologists, the material is presented so that readers with little mathematical expertise can bypass these without losing the main flow of the text.
This book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties. It covers everything from fundamentals to more advanced special topics, each illustrated with case studies from the authors' work in the Nuclear Security Enterprise (NSE). The material provides readers with a solid understanding of how to apply the techniques to metrology studies in a wide variety of contexts. The volume offers particular attention to uncertainty in decision making, design of experiments (DOEx) and curve fitting, along with special topics such as statistical process control (SPC), assessment of binary measurement systems, and new results on sample size selection in metrology studies. The methodologies presented are supported with R script when appropriate, and the code has been made available for readers to use in their own applications. Designed to promote collaboration between statistics and metrology, this book will be of use to practitioners of metrology as well as students and researchers in statistics and engineering disciplines.
At present, the marketplace for professionals, researchers, and graduate students in solid-state physics and materials science lacks a book that presents a comprehensive discussion of ferroelectrics and related materials in a form that is suitable for experimentalists and engineers. This book proposes to present a wide coverage of domain-related issues concerning these materials. This coverage includes selected theoretical topics (which are covered in the existing literature) in addition to a plethora of experimental data which occupies over half of the book. The book presents experimental findings and theoretical understanding of ferroic (non-magnetic) domains developed during the past 60 years. It addresses the situation by looking specifically at bulk crystals and thin films, with a particular focus on recently-developed microelectronic applications and methods for observations of domains with techniques such as scanning force microscopy, polarized light microscopy, scanning optical microscopy, electron microscopy, and surface decorating techniques. "Domains in Ferroic Crystals and Thin Films" covers a large area of material properties and effects connected with static and dynamic properties of domains, which are extremely relevant to materials referred to as ferroics. In other textbooks on solid state physics, one large group of ferroics is customarily covered: those in which magnetic properties play a dominant role. Numerous books are specifically devoted to magnetic ferroics and cover a wide spectrum of magnetic domain phenomena. In contrast, "Domains in Ferroic Crystals and Thin Films" concentrates on domain-related phenomena in nonmagnetic ferroics. These materials are still inadequately represented in solid state physics textbooks and monographs.
Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the blind identification and source separation problem in the complex-domain, where the available statistical properties are richer and include non-circularity of the sources – underlying components. They define identifiability conditions and present state-of-the-art algorithms that are based on algebraic methods as well as iterative algorithms based on maximum likelihood theory. Contents 1. Mathematical Preliminaries. 2. Estimation by Joint Diagonalization. 3. Maximum Likelihood ICA. About the Authors Eric Moreau is Professor of Electrical Engineering at the University of Toulon, France. His research interests concern statistical signal processing, high order statistics and matrix/tensor decompositions with applications to data analysis, telecommunications and radar. Tülay Adali is Professor of Electrical Engineering and Director of the Machine Learning for Signal Processing Laboratory at the University of Maryland, Baltimore County, USA. Her research interests concern statistical and adaptive signal processing, with an emphasis on nonlinear and complex-valued signal processing, and applications in biomedical data analysis and communications. Blind identification consists of estimating a multidimensional system through the use of only its output. Source separation is concerned with the blind estimation of the inverse of the system. The estimation is generally performed by using different statistics of the outputs. The authors consider the blind estimation of a multiple input/multiple output (MIMO) system that mixes a number of underlying signals of interest called sources. They also consider the case of direct estimation of the inverse system for the purpose of source separation. They then describe the estimation theory associated with the identifiability conditions and dedicated algebraic algorithms. The algorithms depend critically on (statistical and/or time frequency) properties of complex sources that will be precisely described.
This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and methods from statistical physics to the modeling of complex systems. These include avalanche dynamics in materials, models of social agents like road traffic or wealth repartition, the real space aspects of biological evolution dynamics, propagation phenomena on complex networks, formal neural networks and their connection to constraint satisfaction problems. This course-tested textbook provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences, including selected aspects of theoretical modeling in biology and the social sciences. It covers topics such as non-conserved particles, evolutionary population dynamics, networks, properties of both individual and coupled simple dynamical systems, and convergence theorems, as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. The original spirit of the book is to remain accessible to a broad, non-specialized readership. The format is a set of concise, modular, and self-contained topical chapters, avoiding technicalities and jargon as much as possible, and complemented by a wealth of worked-out examples, so as to make this work useful as a self-study text or as textbook for short courses.
In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.
Marshall McLuhan was the visionary theorist best known for coining the phrase “the medium is the message.” His work prefigures and underlies the themes of writers and artists as disparate and essential as Andy Warhol, Nam June Paik, Neil Postman, Seth Godin, Barbara Kruger, and Douglas Rushkoff, among countless others. Shortly before his death, together with his media scholar son Eric, McLuhan worked on a new literary/visual code–almost a cross between hieroglyphics and poetry–that he called “the tetrads.” This was the ultimate theoretical framework for analyzing any new medium, a koan-like poetics that transcends traditional means of discourse. Some of the tetrads were published, but only a few. Now Eric McLuhan has recovered all the “lost” tetrads that he and his father developed, and accompanies them here with accessible explanations of how they function.
This title was first published in 2001. A detailed investigation of the practice of teaching sociology in a climate of increasing scrutiny from external stakeholders. The book explores an academic community accustomed to deconstructing the practices of other professional groups, but now facing a challenge to some of its own beliefs and assumptions.
It's beyond dispute that trolls and automated "bots" helped Donald Trump win the White House in 2016. Some of the troll operations involved were based in Russia, but domestic interests also participated in the invasion. In fact, trolls of all types, from all corners of the internet, came together in a perfect storm of propaganda, disinformation, and political dissent. The confusion wrought by the multi-pronged troll invasion still affects our online spaces today, leaving many questions unanswered. Who are the trolls? What do they want? How do they operate? Why couldn't our intelligence agencies put a stop to Russian and right-wing trolling? Can trolling be stopped? And what's with all the freakin' Nazis? One thing is certain: the troll invasions wouldn't have succeeded if America hadn't been divided on many pressing issues. Deep cultural woes, such as racism, our "New Generation Gap," and the slow destruction of the middle class, were part of the toxic environment that allowed trolls to flourish. This book - the first from software expert, award-winning internet troll and long-time underground-culture fixture Eric Saeger - examines all these issues with an impartial eye. The limitations and realities of current technology are explained in clear, simple language, revealing the tactics of everyday trolls and describing how future technology promises to make the internet a safe, livable place for everyone. Most important of all, along the way, you'll see the humor in our dire but salvageable situation. Once we understand the invaders, we'll no longer fear RUSSIAN NAZI TROLL BOTS!
Upon publication, the first edition of the CRC Concise Encyclopedia of Mathematics received overwhelming accolades for its unparalleled scope, readability, and utility. It soon took its place among the top selling books in the history of Chapman & Hall/CRC, and its popularity continues unabated. Yet also unabated has been the d
This book addresses both the fundamentals and the practical industrial applications of Large Eddy Simulation (LES) in order to bridge the gap between LES research and the growing need to use it in engineering modeling.
Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.
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