The “highly entertaining” New York Times bestseller, which explains chaos theory and the butterfly effect, from the author of The Information (Chicago Tribune). For centuries, scientific thought was focused on bringing order to the natural world. But even as relativity and quantum mechanics undermined that rigid certainty in the first half of the twentieth century, the scientific community clung to the idea that any system, no matter how complex, could be reduced to a simple pattern. In the 1960s, a small group of radical thinkers began to take that notion apart, placing new importance on the tiny experimental irregularities that scientists had long learned to ignore. Miniscule differences in data, they said, would eventually produce massive ones—and complex systems like the weather, economics, and human behavior suddenly became clearer and more beautiful than they had ever been before. In this seminal work of scientific writing, James Gleick lays out a cutting edge field of science with enough grace and precision that any reader will be able to grasp the science behind the beautiful complexity of the world around us. With more than a million copies sold, Chaos is “a groundbreaking book about what seems to be the future of physics” by a writer who has been a finalist for both the Pulitzer Prize and the National Book Award, the author of Time Travel: A History and Genius: The Life and Science of Richard Feynman (Publishers Weekly).
An invited collection of peer-reviewed papers surveying key areas of Roger Needham's distinguished research career at Cambridge University and Microsoft Research. From operating systems to distributed computing, many of the world's leading researchers provide insight into the latest concepts and theoretical insights--many of which are based upon Needham's pioneering research work. A critical collection of edited-survey research papers spanning the entire range of Roger Needham's distinguished scientific career, from operating systems to distributed computing and security. Many of the world's leading researchers survey their topics' latest developments and acknowledge the theoretical foundations of Needham's work. Introduction to book written by Rick Rashid, Director of Microsoft Research Worldwide.
[The book] provides a balanced survey of the fundamentals of artificial intelligence, emphasizing the relationship between symbolic and numeric processing. The text is structured around an innovative, interactive combination of LISP programming and AI; it uses the constructs of the programming language to help readers understand the array of artificial intelligence concepts presented. After an overview of the field of artificial intelligence, the text presents the fundamentals of LISP, explaining the language's features in more detail than any other AI text. Common Lisp is then used consistently, in both programming exercises and plentiful examples of actual AI code.- Back cover This text is intended to provide an introduction to both AI and LISp for those having a background in computer science and mathematics. -Pref.
This book is one of the few English language texts devoted to the subject of quality costing. The material is based on research work carried out by the authors at the Manchester School of Managememt, UMIST, over the last nine years or so. The research has been mainly in manufac turing organizations but work has also been conducted in non-manufac turing concerns (e. g. marketing and service operations, and commerce). The book will provide managers with sound practical advice on how to define, collect, analyse, report and use quality costs. The text covers all the main aspects of quality costing and an attempt has been made to structure the book in the sequence by which organizations should set about a quality costing exercise. The book opens by examining the background of quality costing. This is followed by chapters on definitions of quality costs, collection of quality costs, analysis and reporting of quality costs, and the uses of quality costs. Examples from manufacturing organizations and non manufacturing situations are used throughout the first five chapters to illustrate the key points discussed in the text. The next four chapters are case studies which provide considerable detail on quality costing in companies from the mechanical and electronics industries. To preserve anonymity the companies are not referred to by name.
This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation.
Developed and class-tested by a distinguished team of authors at two universities, this text is intended for courses in nonlinear dynamics in either mathematics or physics. The only prerequisites are calculus, differential equations, and linear algebra. Along with discussions of the major topics, including discrete dynamical systems, chaos, fractals, nonlinear differential equations and bifurcations, the text also includes Lab Visits -- short reports that illustrate relevant concepts from the physical, chemical and biological sciences. There are Computer Experiments throughout the text that present opportunities to explore dynamics through computer simulations, designed for use with any software package. And each chapter ends with a Challenge, guiding students through an advanced topic in the form of an extended exercise.
The purpose of this book is to give those with some mathematical background a wealth of material with which to appreciate both the power of the microcomputer and its relevance to the study of mathematics. Topics covered include number theory, approximate solutions and differential equations.
On July 23, 1968, police in Cleveland battled with black nationalists.The dramatic shootout in the Glenville neighborhood left ten dead and over fifteen wounded. The event sparked days of heavy rioting and raised myriad questions. Were these shootings an ambush by the nationalists? Or were the nationalists defending themselves from an imminent police assault? Mystery still surrounds how the urban warfare started and the role the FBI might have played in its origin. Cleveland's story intersected with with some of the most important African American figures of the time. Dr. Martin Luther King and Malcolm X both came to Cleveland, shaping the debate over how to address systemic racism. Should it be with nonviolence or armed self-defense? Malcolm X first delivered his iconic "The Ballot or the Bullet" speech in Cleveland. Three years later, in 1967, Carl Stokes, with King's help, became the first black mayor of a major US city. The ballot seemed to have triumphed over the bullet—and then Dr. King was assassinated. In the spring of 1968, while Mayor Stokes kept peace in Cleveland and Bobby Kennedy came to deliver his "Mindless Menace of Violence" speech, nationalists used an antipoverty program Stokes created in King's honor to buy rifles and ammunition. Ballots and Bullets examines the revolutionary calls for addressing racism through guerrilla warfare in America's streets. It also puts into perspective the political aftermath, as racial violence and rebellions in most American cities led to white backlash and provided lift to the counterrevolution that brought Richard Nixon to power, effectively marking an end to President Johnson's "War on Poverty." Fifty years later, many politicians still call for "law and order" to combat urban unrest. The Black Lives Matter movement and continued instances of police misconduct and brutality show that the cycle of race-based violence continues. The root causes—racism and poverty—remain largely unaddressed.
This book presents an authoritative progress report that will remain germane to the topic and prove to be a substantial inspiration to further progress. It is valuable to academic and industrial practitioners of the art and science of chemical reaction and reactor engineering.
In a radical departure from the dozens of other quality books, this one makes the case that the traditional TQM procedures used in the electronics assembly field are not only ineffective-they contribute to many failures. The only book to focus exclusively on quality in electronics manufacturing-& to propose a measurable cost/benefit methodology-this provocative volume shows what's lacking in current quality programs, & how fresh approaches can yet avoid a quality "catastrophe" in the electronics industry. Along the way, numerous quality myths are exploded, hidden issues are confronted, & an array of electronics specific solutions are offered.
Learn more about the history, foundations, and applications of fuzzy logic in this comprehensive resource by an academic leader Introduction to Fuzzy Logic delivers a high-level but accessible introduction to the rapidly growing and evolving field of fuzzy logic and its applications. Distinguished engineer, academic, and author James K. Peckol covers a wide variety of practical topics, including the differences between crisp and fuzzy logic, the people and professions who find fuzzy logic useful, and the advantages of using fuzzy logic. While the book assumes a solid foundation in embedded systems, including basic logic design, and C/C++ programming, it is written in a practical and easy-to-read style that engages the reader and assists in learning and retention. The author includes introductions of threshold and perceptron logic to further enhance the applicability of the material contained within. After introducing readers to the topic with a brief description of the history and development of the field, Introduction to Fuzzy Logic goes on to discuss a wide variety of foundational and advanced topics, like: A review of Boolean algebra, including logic minimization with algebraic means and Karnaugh maps A discussion of crisp sets, including classic set membership, set theory and operations, and basic classical crisp set properties A discussion of fuzzy sets, including the foundations of fuzzy sets logic, set membership functions, and fuzzy set properties An analysis of fuzzy inference and approximate reasoning, along with the concepts of containment and entailment and relations between fuzzy subsets Perfect for mid-level and upper-level undergraduate and graduate students in electrical, mechanical, and computer engineering courses, Introduction to Fuzzy Logic covers topics included in many artificial intelligence, computational intelligence, and soft computing courses. Math students and professionals in a wide variety of fields will also significantly benefit from the material covered in this book.
Analyses the behaviour of not-for-profit organizations under a variety of conditions and contrasts them with profit maximizing firms, other types of profit-constrained firms and with public bureaucracies.
Cultural Democracy explores the crisis of our national cultural vitality, as access to the arts becomes increasingly mediated by a handful of corporations and the narrow tastes of wealthy elites. Graves offers the concept of cultural democracy as corrective--an idea with important historic and contemporary validation, and an alternative pathway toward ethical cultural development that is part of a global shift in values. Drawing upon a range of scholarship and illustrative anecdotes from his own experiences with cultural programs in ethnically diverse communities, Graves explains in convincing detail the dynamics of how traditional and grassroots cultures may survive and thrive--or not--and what we can do to provide them opportunities equal to those of mainstream, Eurocentric culture.
This monograph develops chaos theory from properties of the graphs inverse to the parabolic map of the interval [0, 2], where the height at the midpoint x = 1 may be viewed as a time-like parameter, which together with the x-coordinate, provide the two parameters that uniquely characterize the parabola, and which are used throughout the monograph. There is only one basic mathematical operation used: function composition. The functions studied are the n-fold composition of the basic parabola with itself. However, it is the properties of the graph inverse to this n-fold composition that are the objects whose properties are developed. The reflection symmetry of the basic parabola through the vertical line x = 1 gives rise to two symmetry classes of inverse graphs: the inverse graphs and their conjugates. Quite remarkably, it turns out that there exists, among all the inverse graphs and their conjugates, a completely deterministic class of inverse graphs and their conjugates. Deterministic in the sense that this class is uniquely determined for all values of the time-like parameter and the x-coordinate, the entire theory, of course, being highly nonlinear — it is polynomial in the time-like parameter and in the x-coordinate. The deterministic property and its implementation are key to the argument that the system is a complex adaptive system in the sense that a few axioms lead to structures of unexpected richness.This monograph is about working out the many details that advance the notion that deterministic chaos theory, as realized by a complex adaptive system, is indeed a new body of mathematics that enriches our understanding of the world around us. But now the imagination is also opened to the possibility that the real universe is a complex adaptive system.* deceased
Examine the depth and breadth of financial technology This comprehensive, hands-on guide is the go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry. FinTech For Dummies will shed light on this rapidly changing landscape making it an invaluable source of information for anybody working in or interested in this space. This book provides insights, knowledge and guidance from industry experts Steve O’Hanlon and Susanne Chishti on the following: Gaining insight fastest growing market segment of the financial markets Learning the core decision making to effect a growth plan Securing knowledge of the fastest growing fintech companies in the world Navigating the fintech world The ingredients into building a FinTech company
James Clay Moltz explores efforts by China, Japan, India, South Korea, and ten other countries to boost their civil, commercial, and, in some cases, military profiles in orbit. He investigates these nations' divergent goals and their tendency to focus on national solutions rather than on regionwide cooperation and multilateral initiatives.
Science is difficult and costly to do well. This study systematically creates an economics of science. Many aspects of science are explored from an economic point of view. The scientist is treated as an economically rational individual. This book begins with economic models of misconduct in science and the legitimate, normal practices of science, moving on to market failure, the market place of ideas, self-correctiveness, and the organizational and institutional structures of science. An exploration of broader methodological themes raised by an economics of science ends the work.
This softcover manual covers all procedures and techniques necessary for certification in critical care from the internal medicine, anesthesiology, and surgical critical care certification exam. Each procedure or monitoring technique discusses indications/contraindications, equipment, anatomy, techniques, postprocedure care, and complications. Specific nursing indications are indicated where appropriate.
Most legal expert systems attempt to implement complex models of legal reasoning. This book argues that a complex model is unnecessary. It advocates a simpler, pragmatic approach in which the utility of a legal expert system is evaluated by reference, not to the extent to which it simulates a lawyer's approach to a legal problem, but to the quality of its predictions and of its arguments. The author describes the development of a legal expert system, called SHYSTER, which takes a pragmatic approach to case law. He discusses the testing of SHYSTER in four different and disparate areas of case law, and draws conclusions about the advantages and limitations of this approach to legal expert system development. Chapter 1 presents a critical analysis of previous work of relevance to the development of legal expert systems. Chapter 2 explains the pragmatic approach that was adopted in the development of SHYSTER. The implementation of SHYSTER is detailed using examples in chapter 3. Chapter 4 describes the testing of SHYSTER, and conclusions are drawn from those tests in chapter 5. Examples of SHYSTER's output are provided in appendices.
Philosophy of Mathematics is an excellent introductory text. This student friendly book discusses the great philosophers and the importance of mathematics to their thought. It includes the following topics: * the mathematical image * platonism * picture-proofs * applied mathematics * Hilbert and Godel * knots and nations * definitions * picture-proofs and Wittgenstein * computation, proof and conjecture. The book is ideal for courses on philosophy of mathematics and logic.
Newly revised, this is still the "must have" guide for any drilling, production, or petroleum engineer, with thousands of handy formulas and calculations that the engineer needs on a daily basis. Presented in an easy-to-use format, this second edition of Formulas and Calculations for Drilling Operations is a quick reference for day-to-day work out on the rig. It also serves as a handy study guide for drilling and well control certification courses. Virtually all the mathematics required on a drilling rig is here in one convenient source, including formulas for pressure gradient, specific gravity, pump, output, annular velocity, buoyancy factor, and many other topics. Whether open on your desk, on the hood of your truck at the well, or on an offshore platform, this is the only book available that covers the gamut of the formulas and calculations for petroleum engineers that have been compiled over decades. Some of these formulas and calculations have been used for decades, while others are meant to help guide the engineer through some of the more recent breakthroughs in the industry's technology, such as hydraulic fracturing and enhanced oil recovery. There is no other source for these useful formulas and calculations that is this thorough. An instant classic when the first edition was published, the much-improved revision is even better, offering new information not available in the first edition, making it as up-to-date as possible in book form. Truly a state-of-the-art masterpiece for the oil and gas industry, if there is only one book you buy to help you do your job, this is it!
Some rather remarkable changes took place in North American business schools between 1945 and 1970, altering the character of these institutions, the possibilities for their future, and the terms of discourse about them. This period represents a minor revolution, during which business school are reported to have become more academic, more analytic, and more quantitative. The Roots, Rituals, and Rhetorics of Change considers these changes and explores their roots. It traces the origins of this quiet revolution and shows how it shaped discussions about management education, leading to a shift in that weakened the place of business cases and experiential knowledge and strengthened support for a concept of professionalism that applied to management. The text considers how the rhetoric of change was organized around three core questions: Should business schools concern themselves primarily with experiential knowledge or with academic knowledge? What vision of managers and management should be reflected by business schools? How should managerial education connect its teaching to some version of reality?
In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics - a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.
Will your next doctor be a human being—or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.AI experts and researchers James Hendler—co-originator of the Semantic Web (Web 3.0)—and Alice Mulvehill—developer of AI-based operational systems for DARPA, the Air Force, and NASA—explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaims of AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines. What Readers Will Learn What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence How modern artificial intelligence technologies, such as Watson, are evolving and how they process knowledge from both carefully produced information (such as Wikipedia and journal articles) and from big data collections The fundamentals of neuromorphic computing, knowledge graph search, and linked data, as well as the basic technology concepts that underlie networking applications such as Facebook and Twitter How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications Who This Book Is ForGeneral readers and technically engaged developers, entrepreneurs, and technologists interested in the threats and promises of the accelerating convergence of artificial intelligence with social networks and mobile web technologies.
“Much is said these days about building bridges to the 21st century, and savvy businesspeople are constantly on the lookout for ways to make this colorful metaphor into reality. Thinking in the Future Tense: Leadership Skills for a New Age, by author and business lecturer Jennifer James, clearly establishes the framework for a real-world transition” (Amazon.com). American business, economics, and society are changing at a phenomenal rate. The pressure is on, and managers need to learn faster, think smarter, and free themselves from confining assumptions and old mindsets. In this important book, James—"the Margaret Mead of modern business"—reveals the business survival skills managers need to know to operate in this new fashion.
Most legal expert systems attempt to implement complex models of legal reasoning. But the utility of a legal expert system lies not in the extent to which it simulates a lawyer’s approach to a legal problem, but in the quality of its predictions and of its arguments. A complex model of legal reasoning is not necessary: a successful legal expert system can be based upon a simplified model of legal reasoning. Some researchers have based their systems upon a jurisprudential approach to the law, yet lawyers are patently able to operate without any jurisprudential insight. A useful legal expert system should be capable of producing advice similar to that which one might get from a lawyer, so it should operate at the same pragmatic level of abstraction as does a lawyer—not at the more philosophical level of jurisprudence. A legal expert system called SHYSTER has been developed to demonstrate that a useful legal expert system can be based upon a pragmatic approach to the law. SHYSTER has a simple representation structure which simplifies the problem of knowledge acquisition. Yet this structure is complex enough for SHYSTER to produce useful advice. SHYSTER is a case-based legal expert system (although it has been designed so that it can be linked with a rule-based system to form a hybrid legal expert system). Its advice is based upon an examination of, and an argument about, the similarities and differences between cases. SHYSTER attempts to model the way in which lawyers argue with cases, but it does not attempt to model the way in which lawyers decide which cases to use in those arguments. Instead, it employs statistical techniques to quantify the similarity between cases. It decides which cases to use in argument, and what prediction it will make, on the basis of that similarity measure. SHYSTER is of a general design: it can provide advice in areas of case law that have been specified by a legal expert using a specification language. Hence, it can operate in different legal domains. Four different, and disparate, areas of law have been specified for SHYSTER, and its operation has been tested in each of those domains. Testing of SHYSTER in these four domains indicates that it is exceptionally good at predicting results, and fairly good at choosing cases with which to construct its arguments. SHYSTER demonstrates the viability of a pragmatic approach to legal expert system design.
This text addresses the expanding role of resistance training for health, disease prevention and rehabilitation. It presents a clear and sound rationale for including resistance training as a health benefit, pointing out the areas in which it helps.
Complementing the author's 1990 bibliography, A Bibliographic Guide to the History of Computing, Computers, and the Information Processing Industry, this bibliography provides 2,500 new citations, covering all significant literature published since the late 1980s. It includes all aspects of the subject—biographies, company histories, industry studies, product descriptions, sociological studies, industry directories, and traditional monographic histories—and covers all periods from the beginnings to the personal computer. New to this volume is a chapter on the management of information processing operations, useful to both historians and managers of information technology. Together with the earlier bibliography, this work provides the most comprehensive bibliographic guide to the history of computers, computing, and the information processing industry. The organization of the book follows that of the earlier work, with the addition of the new chapter on the management of information processing. All entries are new to this volume. Titles are annotated, and each chapter begins with a short introduction. A full table of contents and author and subject indexes enhance accessibility to the material.
This book, together with the accompanying computer program Dynamics 2 (included on a diskette), is suitable for the novice and the expert in dynamical systems. It helps the novice begin immediately exploring dynamical systems with a broad array of interactive techniques. The book explains basic ideas of nonlinear dynamical systems, and Dynamics 2 provides many tools developed by the Maryland Chaos group to visualize dynamical systems. Dynamics 2 can be used by undergraduates, by graduate students, and by researchers in a variety of scientific disciplines.
Statistical mechanics is our tool for deriving the laws that emerge from complex systems. Sethna's text distills the subject to be accessible to those in all realms of science and engineering — avoiding extensive use of quantum mechanics, thermodynamics, and molecular physics. Statistical mechanics explains how bacteria search for food, and how DNA replication is proof-read in biology; optimizes data compression, and explains transitions in complexity in computer science; explains the onset of chaos, and launched random matrix theory in mathematics; addresses extreme events in engineering; and models pandemics and language usage in the social sciences. Sethna's exercises introduce physicists to these triumphs and a hundred others — broadening the horizons of scholars both practicing and nascent. Flipped classrooms and remote learning can now rely on 33 pre-class exercises that test reading comprehension (Emergent vs. fundamental; Weirdness in high dimensions; Aging, entropy and DNA), and 70 in-class activities that illuminate and broaden knowledge (Card shuffling; Human correlations; Crackling noises). Science is awash in information, providing ready access to definitions, explanations, and pedagogy. Sethna's text focuses on the tools we use to create new laws, and on the fascinating simple behavior in complex systems that statistical mechanics explains.
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