Reliable Knowledge

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

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

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.

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.

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.

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.