Reliable Knowledge PDF Download

Author: John Ziman
Publisher: Cambridge University Press
ISBN: 9780521406703
Category : Science
Languages : en
Pages : 212

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Book Description
Reliable Knowledge offers a valuably clear account and a radically challenging investigation of the credibility of scientific knowledge.

Author: Honghua Dai
Publisher: Springer Science & Business Media
ISBN: 1461419034
Category : Computers
Languages : en
Pages : 317

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Book Description
Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military. Reliable Knowledge Discovery also presents methods and techniques for designing robust knowledge-discovery processes. Approaches to assessing the reliability of the discovered knowledge are introduced. Particular attention is paid to methods for reliable feature selection, reliable graph discovery, reliable classification, and stream mining. Estimating the data trustworthiness is covered in this volume as well. Case studies are provided in many chapters. Reliable Knowledge Discovery is designed for researchers and advanced-level students focused on computer science and electrical engineering as a secondary text or reference. Professionals working in this related field and KDD application developers will also find this book useful.

Author: John M. Ziman
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 197

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Book Description
Reliable Knowledge offers a valuably clear account and a radically challenging investigation of the credibility of scientific knowledge.

Author: Gerhard Schurz
Publisher: Rodopi
ISBN: 9042028106
Category : Language Arts & Disciplines
Languages : en
Pages : 306

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Book Description
This special issue documents the results of a workshop on and with Alvin Goldman at the University of Düsseldorf in May, 2008. The topic was Reliable Knowledge and Social Epistemology. The volume contains the written versions of all papers given at the workshop, divided into five chapters and followed by Alvin Goldman's replies in the sixth and final chapter. The contributions of the first chapter (E. Brendel, C. Jäger, and G. Schurz) address general questions of social epistemology, veritism and externalism, including critical reflections on Goldman's notion of 'weak knowledge'. The subsequent chapter (T. Grundmann and P. Baumann) examines problems which are involved in the search for an adequate explication of reliabilism. In the third chapter, E. Olsson, J. Horvath, C. Piller and M. Werning discuss Goldman and Olsson's account of the problem of the value of knowledge. In the fourth chapter (M. Baurmann & G. Brennan, and O. Scholz) two specific aspects of the social dimension of knowledge are investigated: the relation between knowledge and democracy as well as the definition and recognition of expertise. The fifth chapter (A. Newen & T. Schicht) discusses another part of Goldman's cognitive epistemology, namely his simulation theory of mindreading. Goldman gives detailed replies to all parts of the papers in the final chapter. He thereby clarifies the many aspects of his philosophy and proposes amendments of earlier positions of his.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309486165
Category : Science
Languages : en
Pages : 257

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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: Peter Howlett
Publisher: Cambridge University Press
ISBN: 113949239X
Category : Science
Languages : en
Pages : 487

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Book Description
This book discusses how facts travel, and when and why they sometimes travel well enough to acquire a life of their own. Whether or not facts travel in this manner depends not only on their character and ability to play useful roles elsewhere, but also on the labels, packaging, vehicles and company that take them across difficult terrains and over disciplinary boundaries. These diverse stories of travelling facts, ranging from architecture to nanotechnology and from romance fiction to climate science, change the way we see the nature of facts. Facts are far from the bland and rather boring but useful objects that scientists and humanists produce and fit together to make narratives, arguments and evidence. Rather, their extraordinary abilities to travel well shows when, how and why facts can be used to build further knowledge beyond and away from their sites of original production and intended use.

Author: Gilbert Harman
Publisher: MIT Press
ISBN: 0262263157
Category : Psychology
Languages : en
Pages : 119

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Book Description
The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.

Author: Judith M. Gueron
Publisher: Russell Sage Foundation
ISBN: 1610448138
Category : Political Science
Languages : en
Pages : 594

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Book Description
Once primarily used in medical clinical trials, random assignment experimentation is now accepted among social scientists across a broad range of disciplines. The technique has been used in social experiments to evaluate a variety of programs, from microfinance and welfare reform to housing vouchers and teaching methods. How did randomized experiments move beyond medicine and into the social sciences, and can they be used effectively to evaluate complex social problems? Fighting for Reliable Evidence provides an absorbing historical account of the characters and controversies that have propelled the wider use of random assignment in social policy research over the past forty years. Drawing from their extensive experience evaluating welfare reform programs, noted scholar practitioners Judith M. Gueron and Howard Rolston portray randomized experiments as a vital research tool to assess the impact of social policy. In a random assignment experiment, participants are sorted into either a treatment group that participates in a particular program, or a control group that does not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any subsequent differences between the groups can be attributed to the influence of the program or policy. The theory is elegant and persuasive, but many scholars worry that such an experiment is too difficult or expensive to implement in the real world. Can a control group be truly insulated from the treatment policy? Would staffers comply with the random allocation of participants? Would the findings matter? Fighting for Reliable Evidence recounts the experiments that helped answer these questions, starting with the income maintenance experiments and the Supported Work project in the 1960s and 1970s. Gueron and Rolston argue that a crucial turning point came during the 1980s, when Congress allowed states to experiment with welfare programs and foundations, states, and the federal government funded larger randomized trials to assess the impact of these reforms. As they trace these historical shifts, Gueron and Rolston discuss the ways that strategies for resolving theoretical and practical problems were developed, and they highlight the strict conditions required to execute a randomized experiment successfully. What emerges is a nuanced portrait of the potential and limitations of social experiments to advance empirical knowledge. Weaving history, data analysis and personal experience, Fighting for Reliable Evidence offers valuable lessons for researchers, policymakers, funders, and informed citizens interested in isolating the effect of policy initiatives. It is an essential primer on welfare policy, causal inference, and experimental designs.

Author: Steve Fuller
Publisher: Routledge
ISBN: 1317493273
Category : Philosophy
Languages : en
Pages : 259

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Book Description
"The Knowledge Book" is a unique interdisciplinary reference work for students and researchers concerned with the nature of knowledge. It is the first work of its kind to be organized on the assumption that whatever else knowledge might be, it is intrinsically social. The book consists of 42 alphabetically arranged entries on key concepts at the intersection of philosophy and sociology - what used to be called "sociology of knowledge" but is now increasingly called "social epistemology". The entries include concepts common to disciplines that in recent years have devoted more of their attention to knowledge: cultural studies, communication studies, information science, education, policy studies and business studies. Special attention is given to concepts from the emerging field of science and technology studies. Each entry presents a short, self-contained essay providing an overview of a concept and concludes with suggestions for further reading. All the entries are fully cross-referenced, allowing readers to both make connections and follow their own interests.

Author: Michael R. Reich
Publisher: Routledge
ISBN: 1351861719
Category : Business & Economics
Languages : en
Pages : 346

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Book Description
Governing Health Systems: For Nations and Communities Around the World examines the complex relationships between governance and performance in community and national health systems. Each chapter provides an in-depth case study, using both qualitative and quantitative methods, on health systems in many countries, including Uganda, Ghana, India, Zambia, Japan, Nigeria, Indonesia, Brazil, Palestine, and South Korea. The chapters were written by former Takemi Fellows, who were mid-career research fellows at the Harvard T.H. Chan School of Public Health, and their colleagues. This case study approach yields important findings as well as contextual insights about the challenges and accomplishments in addressing governance issues in national and community health systems around the world. Health policymakers around the world are struggling to address the multiple challenges of governing health systems. These challenges also represent important themes for the research mission of the Takemi Program in International Health at the Harvard T.H. Chan School of Public Health. This book is based on the program’s thirtieth anniversary symposium held in October 2013 at Harvard. The studies presented in this book—deep examinations of illustrative examples of health system governance for communities and nations—contribute to our knowledge about global health and assist policymakers in dealing with the complex practical problems of health systems. In short, this book addresses central questions about governing health systems—and why governance matters.