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Author: Yoshiteru Nakamori Publisher: CRC Press ISBN: 1439838372 Category : Business & Economics Languages : en Pages : 189
Book Description
Knowledge science is an emerging discipline resulting from the demands of a knowledge-based economy and information revolution. Explaining how to improve our knowledge-based society, Knowledge Science: Modeling the Knowledge Creation Process addresses problems in collecting, synthesizing, coordinating, and creating knowledge. The book introduces several key concepts in knowledge science: Knowledge technology, which encompasses classification, representation, modeling, identification, acquisition, searching, organization, storage, conversion, and dissemination Knowledge management, which covers three different yet related areas (knowledge assets, knowing processes, knower relations) Knowledge discovery and data mining, which combine databases, statistics, machine learning, and related areas to discover and extract valuable knowledge from large volumes of data Knowledge synthesis, knowledge justification, and knowledge construction, which are important in solving real-life problems Specialists in decision science, artificial intelligence, systems engineering, behavioral science, and management science, the book’s contributors present their own original ideas, including an Oriental systems philosophy, a new episteme in the knowledge-based society, and a theory of knowledge construction. They emphasize the importance of systemic thinking for developing a better society in the current knowledge-based era.
Author: Yoshiteru Nakamori Publisher: CRC Press ISBN: 1439838372 Category : Business & Economics Languages : en Pages : 189
Book Description
Knowledge science is an emerging discipline resulting from the demands of a knowledge-based economy and information revolution. Explaining how to improve our knowledge-based society, Knowledge Science: Modeling the Knowledge Creation Process addresses problems in collecting, synthesizing, coordinating, and creating knowledge. The book introduces several key concepts in knowledge science: Knowledge technology, which encompasses classification, representation, modeling, identification, acquisition, searching, organization, storage, conversion, and dissemination Knowledge management, which covers three different yet related areas (knowledge assets, knowing processes, knower relations) Knowledge discovery and data mining, which combine databases, statistics, machine learning, and related areas to discover and extract valuable knowledge from large volumes of data Knowledge synthesis, knowledge justification, and knowledge construction, which are important in solving real-life problems Specialists in decision science, artificial intelligence, systems engineering, behavioral science, and management science, the book’s contributors present their own original ideas, including an Oriental systems philosophy, a new episteme in the knowledge-based society, and a theory of knowledge construction. They emphasize the importance of systemic thinking for developing a better society in the current knowledge-based era.
Author: John Horgan Publisher: Basic Books ISBN: 0465050859 Category : Science Languages : en Pages : 368
Book Description
As staff writer for Scientific American, John Horgan has a window on contemporary science unsurpassed in all the world. Who else routinely interviews the likes of Lynn Margulis, Roger Penrose, Francis Crick, Richard Dawkins, Freeman Dyson, Murray Gell-Mann, Stephen Jay Gould, Stephen Hawking, Thomas Kuhn, Chris Langton, Karl Popper, Stephen Weinberg, and E.O. Wilson, with the freedom to probe their innermost thoughts? In The End Of Science, Horgan displays his genius for getting these larger-than-life figures to be simply human, and scientists, he writes, "are rarely so human . . . so at there mercy of their fears and desires, as when they are confronting the limits of knowledge."This is the secret fear that Horgan pursues throughout this remarkable book: Have the big questions all been answered? Has all the knowledge worth pursuing become known? Will there be a final "theory of everything" that signals the end? Is the age of great discoverers behind us? Is science today reduced to mere puzzle solving and adding detains to existing theories? Horgan extracts surprisingly candid answers to there and other delicate questions as he discusses God, Star Trek, superstrings, quarks, plectics, consciousness, Neural Darwinism, Marx's view of progress, Kuhn's view of revolutions, cellular automata, robots, and the Omega Point, with Fred Hoyle, Noam Chomsky, John Wheeler, Clifford Geertz, and dozens of other eminent scholars. The resulting narrative will both infuriate and delight as it mindless Horgan's smart, contrarian argument for "endism" with a witty, thoughtful, even profound overview of the entire scientific enterprise. Scientists have always set themselves apart from other scholars in the belief that they do not construct the truth, they discover it. Their work is not interpretation but simple revelation of what exists in the empirical universe. But science itself keeps imposing limits on its own power. Special relativity prohibits the transmission of matter or information as speeds faster than that of light; quantum mechanics dictates uncertainty; and chaos theory confirms the impossibility of complete prediction. Meanwhile, the very idea of scientific rationality is under fire from Neo-Luddites, animal-rights activists, religious fundamentalists, and New Agers alike. As Horgan makes clear, perhaps the greatest threat to science may come from losing its special place in the hierarchy of disciplines, being reduced to something more akin to literaty criticism as more and more theoreticians engage in the theory twiddling he calls "ironic science." Still, while Horgan offers his critique, grounded in the thinking of the world's leading researchers, he offers homage too. If science is ending, he maintains, it is only because it has done its work so well.
Author: Douglas B. Larkin Publisher: Teachers College Press ISBN: 0807771929 Category : Education Languages : en Pages : 177
Book Description
Deep Knowledge is a book about how peoples ideas change as they learn to teach. Using the experiences of six middle and high school student teachers as they learn to teach science in diverse classrooms, Larkin explores how their work changes the way they think about students, society, schools, and science itself. Through engaging case stories, Deep Knowledge challenges some commonly held assumptions about learning to teach and tackles problems inherent in many teacher education programs. This book digs deep into the details of teacher learning in a way seldom attempted in teacher education textbooks.
Author: Syed V. Ahamed Publisher: Morgan Kaufmann ISBN: 0128093552 Category : Computers Languages : en Pages : 578
Book Description
Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines explains how to design and build the next generation of intelligent machines that solve social and environmental problems in a systematic, coherent, and optimal fashion. The book brings together principles from computer and communication sciences, electrical engineering, mathematics, physics, social sciences, and more to describe computer systems that deal with knowledge, its representation, and how to deal with knowledge centric objects. Readers will learn new tools and techniques to measure, enhance, and optimize artificial intelligence strategies for efficiently searching through vast knowledge bases, as well as how to ensure the security of information in open, easily accessible, and fast digital networks. Author Syed Ahamed joins the basic concepts from various disciplines to describe a robust and coherent knowledge sciences discipline that provides readers with tools, units, and measures to evaluate the flow of knowledge during course work or their research. He offers a unique academic and industrial perspective of the concurrent dynamic changes in computer and communication industries based upon his research. The author has experience both in industry and in teaching graduate level telecommunications and network architecture courses, particularly those dealing with applications of networks in education. Presents a current perspective of developments in central, display, signal, and graphics processor-units as they apply to designing knowledge systems Offers ideas and methodologies for systematically extending data and object processing in computing into other disciplines such as economics, mathematics, and management Provides best practices and designs for engineers alongside case studies that illustrate practical implementation ideas across multiple domains
Author: Kevin McCain Publisher: Routledge ISBN: 1351336606 Category : Philosophy Languages : en Pages : 522
Book Description
What Is Scientific Knowledge? is a much-needed collection of introductory-level chapters on the epistemology of science. Renowned historians, philosophers, science educators, and cognitive scientists have authored 19 original contributions specifically for this volume. The chapters, accessible for students in both philosophy and the sciences, serve as helpful introductions to the primary debates surrounding scientific knowledge. First-year undergraduates can readily understand the variety of discussions in the volume, and yet advanced students and scholars will encounter chapters rich enough to engage their many interests. The variety and coverage in this volume make it the perfect choice for the primary text in courses on scientific knowledge. It can also be used as a supplemental book in classes in epistemology, philosophy of science, and other related areas. Key features: * an accessible and comprehensive introduction to the epistemology of science for a wide variety of students (both undergraduate- and graduate-level) and researchers * written by an international team of senior researchers and the most promising junior scholars * addresses several questions that students and lay people interested in science may already have, including questions about how scientific knowledge is gained, its nature, and the challenges it faces.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309486165 Category : Science Languages : en Pages : 257
Book Description
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Author: Michael Strevens Publisher: Liveright Publishing ISBN: 1631491385 Category : Science Languages : en Pages : 368
Book Description
“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.
Author: Helen E. Longino Publisher: Princeton University Press ISBN: 9780691020518 Category : Philosophy Languages : en Pages : 278
Book Description
Conventional wisdom has it that the sciences, properly pursued, constitute a pure, value-free method of obtaining knowledge about the natural world. In light of the social and normative dimensions of many scientific debates, Helen Longino finds that general accounts of scientific methodology cannot support this common belief. Focusing on the notion of evidence, the author argues that a methodology powerful enough to account for theories of any scope and depth is incapable of ruling out the influence of social and cultural values in the very structuring of knowledge. The objectivity of scientific inquiry can nevertheless be maintained, she proposes, by understanding scientific inquiry as a social rather than an individual process. Seeking to open a dialogue between methodologists and social critics of the sciences, Longino develops this concept of "contextual empiricism" in an analysis of research programs that have drawn criticism from feminists. Examining theories of human evolution and of prenatal hormonal determination of "gender-role" behavior, of sex differences in cognition, and of sexual orientation, the author shows how assumptions laden with social values affect the description, presentation, and interpretation of data. In particular, Longino argues that research on the hormonal basis of "sex-differentiated behavior" involves assumptions not only about gender relations but also about human action and agency. She concludes with a discussion of the relation between science, values, and ideology, based on the work of Habermas, Foucault, Keller, and Haraway.
Author: Mark Risjord Publisher: John Wiley & Sons ISBN: 144435860X Category : Medical Languages : en Pages : 336
Book Description
Nurses who conduct research have a longstanding interest in questions of nursing knowledge. Nursing Knowledge is a clear and well-informed exposition of the philosophical background to nursing theory and research. Nursing Knowledge answers such fundamental questions as: How is nursing theory related to nursing practice? What are the core elements of nursing knowledge? What makes nursing research distinctive as nursing research? It examines the history of the philosophical debates within nursing, critiques the arguments, explains the implications and sets out to rethink the philosophical foundation of nursing science. Nursing Knowledge begins with philosophical problems that arise within nursing science. It then considers various solutions with the help of philosophical ideas arguingargues that nurses ought to adopt certain philosophical positions because they are the best solutions to the problems that nurses encounter. The book argues claims that the nursing standpoint has the potential to disclose a more complete understanding of human health than the common disease-and-dysfunction views. Because of the relationship to practice, nursing science may freely draw theory from other disciplines and nursing practice unifies nursing research. By redefining theory and philosophy,With a new philosophical perspective on nursing science, the so-called relevance gap between nursing theory and practice can be closed. The final chapter of the book ‘redraws the map’, to create a new picture of nursing science based on the following principles: Problems of practice should guide nursing research Practice and theory are dynamically related Theory research must provide the knowledge base necessary for nurse interventions, training, patient education, etc. Nursing research should develop midrange theories and its results are nursing theory is strengthened when it uses theories confirmed by is integrated with other disciplines Key features Clear and accessibly written Accurate and philosophically well-informed, Discusses philosophical problems in contexts familiar to nurses Systematically examines the philosophical issues involved in nursing research Examines epistemology (how we know what we know), theory development, and the philosophical foundations of scientific methodology. Develops a new model of nursing knowledge Dr. Mark Risjord is Associate Professor in Philosophy at Emory University, and has a faculty appointment in the Nell Hodgson Woodruff School of Nursing. His main research areas have been in the philosophy of social science and the philosophy of medicine. He was invited to has been teaching philosophy of science and theory development in the new PhD program in the Nell Hodgson School of Nursing at Emory University insince 1999. He has been awarded two competitive teaching prizes: Emory Williams Distinguished Teaching Award (2004) and the Excellence in Teaching Award (1997). He is presently serving as the Masse-Martin/NEH Distinguished Teaching Chair (2006-2010).
Author: Yoshiteru Nakamori
Author: Yoshiteru Nakamori
Author: John Horgan
Author: Douglas B. Larkin
Author: Syed V. Ahamed
Author: Kevin McCain
Author: National Academies of Sciences, Engineering, and Medicine
Author: Graham Peacock
Author: Michael Strevens
Author: Helen E. Longino
Author: Mark Risjord