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Alexander Dumas Dictionary Of Cuisine
by DumasFirst published in 2005. A cookery book by the author of The Three Muskateers and The Count of Monte Cristo may seen an improbability. Yet Alexandre Dumas was an expert cook- his love of food was said to be equalled only by his love of women - and his Great Dictionary of Cuisine, written to be read by worldly people and used by professionals and published posthumously in 1873, it is a masterpiece in its own right. This abridged version of the Dictionary is designed to be both useful and entertaining. A glance at the Index will show that there are hundreds of recipes - for sauces, soups, meat, fish, eggs, poultry and game - not all kitchen-tested with modern ingredients, but well within the scope of an experienced and imaginative cook.
Alexander L. George: With a Foreword by Dan Caldwell (Pioneers in Arts, Humanities, Science, Engineering, Practice #15)
by Dan CaldwellAlexander L. George was one of the most productive and respected political scientistsof the late twentieth century. He and his wife, Juliette George, wrote one of the firstpsychobiographies, and Professor George went on to write seminal articles and booksfocusing on political psychology, the operational code, foreign policy decisionmaking,case study methodology, deterrence, coercive diplomacy, policy legitimacy, and bridgingthe gap between the academic and policymaking communities. This book is the firstand only one to contain examples of the works across these fields written by AlexanderGeorge and several of his collaborators.• This is a collection of Alexander L. George's works from the major fields to whichhe contributed.• There are biographical essays by his wife and co-author (Juliette L. George), daughter(Mary George Douglass), former student (Dan Caldwell), and professional colleague(Janice Gross Stein).• There are 25 photographs of Alexander L. George and his family which have notpreviously been published.
Alfred C. Kinsey: A Life
by James H. JonesThe hidden life of Alfred C. Kinsey, the principal architect of the sexual revolution. In this brilliant, groundbreaking biography, twenty years in the making, James H. Jones presents a moving and even shocking portrait of the man who pierced the veil of reticence surrounding human sexuality. Jones shows that the public image Alfred Kinsey cultivated of disinterested biologist was in fact a carefully crafted public persona. By any measure he was an extraordinary man--and a man with secrets. Drawing upon never before disclosed facts about Kinsey's childhood, Jones traces the roots of Kinsey's scholarly interest in human sexuality to his tortured upbringing. Between the sexual tensions of the culture and Kinsey's devoutly religious family, Jones depicts Kinsey emerging from childhood with psychological trauma but determined to rescue humanity from the emotional and sexual repression he had suffered. New facts about his marriage, family life, and relationships with students and colleagues enrich this portrait of the complicated, troubled man who transformed the state of public discourse on human sexuality.
Alfred Cort Haddon: A Very English Savage (Anthropology's Ancestors #5)
by Ciarán WalshAn innovative account of one of the least-understood characters in the history of anthropology. Using previously overlooked, primary sources Ciarán Walsh argues that Haddon, the grandson of anti-slavery activists, set out to revolutionize anthropology in the 1890s in association with a network of anarcho-utopian activists and philosophers. He regards most of what has been written about Haddon in the past as a form of disciplinary folklore shaped by a theory of scientific revolutions. The main action takes place in Ireland, where Haddon adopted the persona of a very English savage in a new form of performed photo-ethnography that constituted a singularly modernist achievement in anthropology. From the Introduction: Alfred Cort Haddon was written out of the story of anthropology for the same reasons that make him interesting today. He was passionately committed to the protection of simpler societies and their civilisations from colonists and their supporters in parliament and the armed forces.
Alfred Schutz, Phenomenology, and the Renewal of Interpretive Social Science (Routledge Studies in Social and Political Thought)
by Besnik PulaIn recent decades, the historical social sciences have moved away from deterministic perspectives and increasingly embraced the interpretive analysis of historical process and social and political change. This shift has enriched the field but also led to a deadlock regarding the meaning and status of subjective knowledge. Cultural interpretivists struggle to incorporate subjective experience and the body into their understanding of social reality. In the early twentieth century, philosopher Alfred Schutz grappled with this very issue. Drawing on Edmund Husserl’s phenomenology and Max Weber’s historical sociology, Schutz pioneered the interpretive analysis of social life from an embodied perspective. However, the recent interpretivist turn, influenced by linguistic philosophies, discourse theory, and poststructuralism, has overlooked the insights of Schutz and other phenomenologists. This book revisits Schutz’s phenomenology and social theory, positioning them against contemporary problems in social theory and interpretive social science research. The book extends Schutz’s key concepts of relevance, symbol relations, theory of language, and lifeworld meaning structures. It outlines Schutz’s critical approach to the social distribution of knowledge and develops his nascent sociology and political economy of knowledge. This book will appeal to readers with interests in social theory, phenomenology, and the methods of interpretive social science, including historical sociology, cultural sociology, science and technology studies, political economy, and international relations.
Algebraic Structures in Natural Language
by Jean-Philippe BernardyAlgebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction and information theory, rather than on formal models of grammar induction. This book addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties. It brings together leading researchers from computational linguistics, psychology, behavioral science and mathematical linguistics to consider the significance of non-algebraic methods for the study of natural language. The text represents a wide spectrum of views, from the claim that algebraic systems are largely irrelevant to the contrary position that non-algebraic learning methods are engineering devices for efficiently identifying the patterns that underlying grammars and semantic models generate for natural language input. There are interesting and important perspectives that fall at intermediate points between these opposing approaches, and they may combine elements of both. It will appeal to researchers and advanced students in each of these fields, as well as to anyone who wants to learn more about the relationship between computational models and natural language.
Algeria: Statistical Appendix
by International Monetary FundA report from the International Monetary Fund.
Algeria: Statistical Appendix
by International Monetary FundA report from the International Monetary Fund.
Algeria: Statistical Appendix
by International Monetary FundA report from the International Monetary Fund.
Algerian Chronicles
by Albert CamusMore than 50 years after independence, Algerian Chronicles, with its prescient analysis of the dead end of terrorism, appears here in English for the first time. Published in France in 1958-the year the war caused the collapse of the Fourth French Republic-it is one of Albert Camus’ most political works: an exploration of his commitment to Algeria.
Algerian Languages in Education: Conflicts and Reconciliation
by Salim Bouherar Abderrezzaq GhafsiThis book examines the role of foreign languages and cultures in the Algerian educational system, highlighting how cultural imperialism and supremacy persist through damaging language ideologies and the privileging of colonial languages such as French and English. The authors challenge the claim that the Algerian educational system can be considered ‘neutral’, arguing instead that it was and still is the outcome of a conflict between Arabised and Francophone elites, serving strategic and ideological objectives rather than cultural or pedagogical goals. This book will be relevant to students and scholars of language education, language policy and planning, and the history and politics of the Arab and Muslim world, especially those interested in the influence of Western languages and cultures and the democratisation of educational systems.
The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now
by Hilke SchellmannBased on exclusive information from whistleblowers, internal documents, and real world test results, Emmy‑award winning Wall Street Journal contributor Hilke Schellmann delivers a shocking and illuminating expose on the next civil rights issue of our time: how AI has already taken over the workplace and shapes our future. Hilke Schellmann, is an Emmy‑award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU. In The Algorithm, she investigates the rise of artificial intelligence (AI) in the world of work. AI is now being used to decide who has access to an education, who gets hired, who gets fired, and who receives a promotion. Drawing on exclusive information from whistleblowers, internal documents and real‑world tests, Schellmann discovers that many of the algorithms making high‑stakes decisions are biased, racist, and do more harm than good. Algorithms are on the brink of dominating our lives and threaten our human future—if we don't fight back. Schellmann takes readers on a journalistic detective story testing algorithms that have secretly analyzed job candidates' facial expressions and tone of voice. She investigates algorithms that scan our online activity including Twitter and LinkedIn to construct personality profiles à la Cambridge Analytica. Her reporting reveals how employers track the location of their employees, the keystrokes they make, access everything on their screens and, during meetings, analyze group discussions to diagnose problems in a team. Even universities are now using predictive analytics for admission offers and financial aid.
Algorithm Audit: Why, What and How? (Routledge Advances in Research Methods)
by Biagio AragonaSeeking to increasing the social awareness of citizens, institutions, and corporations with regard to the risks presented by the acritical use of algorithms in decision-making, this book explains the rationale and the methods of algorithm audit. Interdisciplinary in approach, it provides a systematic overview of the subject, supplying readers with clear definitions and practical tools for the audit of algorithms, while also taking account of the political, business, and vocational obstacles to the development of this new field. As such, it constitutes an essential resource for students and researchers across the social sciences and humanities, as well as for professionals and policymakers, with concerns about the social consequences of algorithmic decision-making.
Algorithmic Cultures: Essays on Meaning, Performance and New Technologies (Routledge Advances in Sociology)
by Robert Seyfert and Jonathan RobergeThis book provides in-depth and wide-ranging analyses of the emergence, and subsequent ubiquity, of algorithms in diverse realms of social life. The plurality of Algorithmic Cultures emphasizes: 1) algorithms’ increasing importance in the formation of new epistemic and organizational paradigms; and 2) the multifaceted analyses of algorithms across an increasing number of research fields. The authors in this volume address the complex interrelations between social groups and algorithms in the construction of meaning and social interaction. The contributors highlight the performative dimensions of algorithms by exposing the dynamic processes through which algorithms – themselves the product of a specific approach to the world – frame reality, while at the same time organizing how people think about society. With contributions from leading experts from Media Studies, Social Studies of Science and Technology, Cultural and Media Sociology from Canada, France, Germany, UK and the USA, this volume presents cutting edge empirical and conceptual research that includes case studies on social media platforms, gaming, financial trading and mobile security infrastructures.
Algorithmic Ethics: Algorithms and Society (Algorithms and Society)
by Michael FilimowiczThis book focuses on how new technologies are raising and reshaping ethical questions and practices that aim to automate ethics into program outputs. With new powerful technologies come enhanced capacities to act, which in turn require new ethical concepts for guiding just and fair actions in the use of these new capabilities. The new algorithmic regimes, for their ethical articulation, build on prior ethics discourses in computer and information ethics, as well as the philosophical traditions of ethics generally. Especially as our technologies become more autonomous, operating alongside us in the home, workplace or on the roads, ethics has the potential to limit negative effects and shape the new technical terrains in a more humanly recognizable way. The volume covers a critique of human-centered AI, the effects of AI and the Internet of Things in the domain of human resource management, how decentralized finance applications on the blockchain encode ethical norms into “smart contracts,” and the personal surveillance risks of audio beacon technology operating invisibly in our cellphones. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public will find a multidisciplinary approach to questions posed by research in algorithmic ethics from the fields of management, sociology, social policy, public service, religion and interactive media.
Algorithmic Game Theory: 10th International Symposium, SAGT 2017, L’Aquila, Italy, September 12–14, 2017, Proceedings (Lecture Notes in Computer Science #10504)
by Vittorio Bilò Michele FlamminiThis book constitutes the refereed proceedings of the 10th International Symposium on Algorithmic Game Theory, SAGT 2017, held in L'Aquila, Italy, in September 2017.The 30 full papers presented were carefully reviewed and selected from 66 submissions. The papers cover various important aspects of algorithmic game theory such as auctions, computational aspects of games, congestion games, network and opinion formation games, mechanism design, incentives and regret minimization, and resource allocation.
Algorithmic Governance: Politics and Law in the Post-Human Era
by Ignas KalpokasThis book analyses the changes to the regulation of everyday life that have taken place as a result of datafication, the ever-growing analytical, predictive, and structuring role of algorithms, and the prominence of the platform economy. This new form of regulation – algorithmic governance – ranges from nudging individuals towards predefined outcomes to outright structuration of behaviour through digital architecture. The author reveals the strength and pervasiveness of algorithmic politics through a comparison with the main traditional form of regulation: law. These changes are subsequently demonstrated to reflect a broader shift away from anthropocentric accounts of the world. In doing so, the book adopts a posthumanist framework which focuses on deep embeddedness and interactions between humans, the natural environment, technology, and code.
Algorithmic Intimacy: The Digital Revolution in Personal Relationships
by Anthony ElliottArtificial intelligence not only powers our cars, hospitals and courtrooms: predictive algorithms are becoming deeply lodged inside us too. Machine intelligence is learning our private preferences and discreetly shaping our personal behaviour, telling us how to live, who to befriend and who to date. In Algorithmic Intimacy, Anthony Elliott examines the power of predictive algorithms in reshaping personal relationships today. From Facebook friends and therapy chatbots to dating apps and quantified sex lives, Elliott explores how machine intelligence is working within us, amplifying our desires and steering our personal preferences. He argues that intimate relationships today are threatened not by the digital revolution as such, but by the orientation of various life strategies unthinkingly aligned with automated machine intelligence. Our reliance on algorithmic recommendations, he suggests, reflects a growing emergency in personal agency and human bonds. We need alternatives, innovation and experimentation for the interpersonal, intimate effort of ongoing translation back and forth between the discourses of human and machine intelligence. Accessible and compelling, this book sheds fresh light on the impact of artificial intelligence on the most intimate aspects of our lives. It will appeal to students in the social sciences and humanities and to a wide range of general readers.
The Algorithmic Unconscious: How Psychoanalysis Helps in Understanding AI (Antinomies)
by Luca M. PossatiThis book applies the concepts and methods of psychoanalysis to the study of artificial intelligence (AI) and human–AI interaction. It develops a new, more fruitful approach for applying psychoanalysis to AI and machine behavior. It appeals to a broad range of scholars: philosophers working on psychoanalysis, technology, AI ethics, and cognitive sciences, psychoanalysts, psychologists, and computer scientists. The book is divided into four parts. The first part (Chapter 1) analyzes the concept of "machine behavior." The second part (Chapter 2) develops a reinterpretation of some fundamental Freudian and Lacanian concepts through Bruno Latour’s actor-network theory. The third part (Chapters 3 and 4) focuses on the nature and structure of the algorithmic unconscious. The author claims that the unconscious roots of AI lie in a form of projective identification, i.e., an emotional and imaginative exchange between humans and machines. In the fourth part of the book (Chapter 5), the author advances the thesis that neuropsychoanalysis and the affective neurosciences can provide a new paradigm for research on artificial general intelligence. The Algorithmic Unconscious explores a completely new approach to AI, which can also be defined as a form of "therapy." Analyzing the projective identification processes that take place in groups of professional programmers and designers, as well as the "hidden" features of AI (errors, noise information, biases, etc.), represents an important tool to enable a healthy and positive relationship between humans and AI. Psychoanalysis is used as a critical space for reflection, innovation, and progress.
Algorithms: Technology, Culture, Politics
by Tobias MatznerAlgorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms. It takes a middle ground between theories that give the algorithm a singular and stable meaning in using it as a central analytic category for contemporary society and theories that dissolve the term into the details of empirical studies. The book discusses algorithms in relation to hardware and material conditions, code, data, and subjects such as users, programmers, but also “data doubles”. The individual chapters bridge critical discussions on bias, exclusion, or responsibility with the necessary detail on the contemporary state of information technology. The examples include state-of-the-art applications of machine learning, such as self-driving cars, and large language models such as GPT. The book will be of interest for everyone engaging critically with algorithms, particularly in the social sciences, media studies, STS, political theory, or philosophy. With its broad scope it can serve as a high-level introduction that picks up and builds on more than two decades of critical research on algorithms.
Algorithms and Architectures for Parallel Processing: 18th International Conference, ICA3PP 2018, Guangzhou, China, November 15-17, 2018, Proceedings, Part IV (Lecture Notes in Computer Science #11337)
by Jaideep Vaidya Jin LiThe four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018. The 141 full and 50 short papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Distributed and Parallel Computing; High Performance Computing; Big Data and Information Processing; Internet of Things and Cloud Computing; and Security and Privacy in Computing.
Algorithms and Subjectivity: The Subversion of Critical Knowledge (Routledge Focus on Digital Media and Culture)
by Eran FisherIn this thought-provoking volume, Eran Fisher interrogates the relationship between algorithms as epistemic devices and modern notions of subjectivity. Over the past few decades, as the instrumentalization of algorithms has created knowledge that informs our decisions, preferences, tastes, and actions, and the very sense of who we are, they have also undercut, and arguably undermined, the Enlightenment-era ideal of the subject. Fisher finds that as algorithms enable a reality in which knowledge is created by circumventing the participation of the self, they also challenge contemporary notions of subjectivity. Through four case-studies, this book provides an empirical and theoretical investigation of this transformation, analyzing how algorithmic knowledge differs from the ideas of critical knowledge which emerged during modernity – Fisher argues that algorithms create a new type of knowledge, which in turn changes our fundamental sense of self and our concept of subjectivity. This book will make a timely contribution to the social study of algorithms and will prove especially valuable for scholars working at the intersections of media and communication studies, internet studies, information studies, the sociology of technology, the philosophy of technology, and science and technology studies.
Algorithms, Artificial Intelligence and Beyond: Theorising Society and Culture of the 21st Century (Antinomies)
by Dariusz Brzeziński Kamil Filipek Kuba Piwowar Malgorzata Winiarska-BrodowskaThis volume brings together eminent scholars from various parts of the world, representing different fields of knowledge in order to explore the social, cultural, political and economic effects of the development of new technologies.On the one hand, the book contextualises the discussion of algorithms and artificial intelligence (AI) within the broader framework of the digital revolution, on the other it also examines individual experiences and practices. Moreover, in light of the speed at which algorithms and AI are being incorporated into various aspects of life, contributors also question the ethical implications of their development. The widespread development of AI and algorithmic solutions is one of the most important contemporary phenomena. It has an overwhelming impact on the social and cultural life of the 21st century. In this context, one can point to both exciting examples of the application of algorithms and AI in business and popular culture, as well as the challenges of widening social inequality or the expanding scope of surveillance.The scope of the impact of algorithms and AI makes the formation of new theoretical frameworks vital. This is the aim of this book, which will be of interest to academics within the humanities and social sciences with an interest in technology and the impact of algorithms and AI on society and culture.
Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI Experiences
by Don Donghee ShinAmidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.
Algorithms of Anxiety: Fear in the Digital Age
by Anthony ElliottMachine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, communities and organizations can at last take control of the future – anticipating, designing and commanding the future, possibly even with mathematical exactitude. Yet, paradoxically, algorithms have unleashed widespread fears and forebodings about the impact of digital technologies. Whether it’s worries about unemployment, distress about social media’s harmful effects on teenagers, or the fear of intrusive digital surveillance, we live in an age of turbo-charged anxiety where the prophecies of algorithms are increasingly enmeshed with fundamental disruption and anxieties about the future. In this book, Anthony Elliott examines how machine learning algorithms are not only transforming global institutions but also rewriting our personal lives. He tells this story through a wide-ranging analysis which takes in ChatGPT, Amazon, the Metaverse, Martin Ford, Netflix, Uber, Bernard Stiegler, Squid Game, Kate Crawford, LaMDA, Byung-Chul Han, autonomous drones, Jean Baudrillard and the automation of warfare. Questioning why people often assume that they need to adopt new technologies in order to lead fulfilling lives, Elliott argues that people may be as much entranced as inspired by their outsourcing of personal decision-making to smart machines.