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Author: Immanuel Maurice Wallerstein
Publisher:
ISBN: 9781592132430
Category : Philosophy
Languages : en
Pages : 211
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Book Description
The Uncertainties of Knowledge extends Immanuel Wallerstein's decade-long work of elucidating the crisis of knowledge in current intellectual thought. He argues that the disciplinary divisions of academia have trapped us in a paradigm that assumes knowledge is a certainty and that it can help us explain the social world. This is wrong, he suggests. Instead, Wallerstein offers a new conception of the social sciences, one whose methodology allows for uncertainties. Author note: Immanuel Wallerstein is Director of the Fernand Braudel Center, Binghamton University, and Senior Research Scholar at Yale University.
Author: Immanuel Maurice Wallerstein
Publisher:
ISBN: 9781592132430
Category : Philosophy
Languages : en
Pages : 211
Get Book Here
Book Description
The Uncertainties of Knowledge extends Immanuel Wallerstein's decade-long work of elucidating the crisis of knowledge in current intellectual thought. He argues that the disciplinary divisions of academia have trapped us in a paradigm that assumes knowledge is a certainty and that it can help us explain the social world. This is wrong, he suggests. Instead, Wallerstein offers a new conception of the social sciences, one whose methodology allows for uncertainties. Author note: Immanuel Wallerstein is Director of the Fernand Braudel Center, Binghamton University, and Senior Research Scholar at Yale University.
Author: Immanuel Maurice Wallerstein
Publisher:
ISBN: 9781592132423
Category : Philosophy
Languages : en
Pages : 211
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Book Description
In The Uncertainties of Knowledge, Immanuel Wallerstein extends his work over the last decade of elucidating the crisis of knowledge in current intellectual thought. Arguing that the current disciplinary divisions of academia - divisions produced by a previous crisis of knowledge - has left us trapped in a paradigm that assumes knowledge is a certainty that can help us explain the social world, Wallerstein offers us a new way of imagining the social sciences, one which allows for uncertainties and for methods of studying our world and its historical place.
Author: Ian Scoones
Publisher: Routledge
ISBN: 1000163407
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
Why is uncertainty so important to politics today? To explore the underlying reasons, issues and challenges, this book’s chapters address finance and banking, insurance, technology regulation and critical infrastructures, as well as climate change, infectious disease responses, natural disasters, migration, crime and security and spirituality and religion. The book argues that uncertainties must be understood as complex constructions of knowledge, materiality, experience, embodiment and practice. Examining in particular how uncertainties are experienced in contexts of marginalisation and precarity, this book shows how sustainability and development are not just technical issues, but depend deeply on political values and choices. What burgeoning uncertainties require lies less in escalating efforts at control, but more in a new – more collective, mutualistic and convivial – politics of responsibility and care. If hopes of much-needed progressive transformation are to be realised, then currently blinkered understandings of uncertainty need to be met with renewed democratic struggle. Written in an accessible style and illustrated by multiple case studies from across the world, this book will appeal to a wide cross-disciplinary audience in fields ranging from economics to law to science studies to sociology to anthropology and geography, as well as professionals working in risk management, disaster risk reduction, emergencies and wider public policy fields.
Author: John Robert Taylor
Publisher: Univ Science Books
ISBN: 9780935702422
Category : Mathematics
Languages : en
Pages : 327
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Book Description
Problems after each chapter
Author: Ifan Hughes
Publisher: OUP Oxford
ISBN: 0191576565
Category : Science
Languages : en
Pages : 153
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Book Description
This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.
Author: Ryan G. McClarren
Publisher: Springer
ISBN: 3319995251
Category : Science
Languages : en
Pages : 349
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Book Description
This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform.
Author: Kofi Kissi Dompere
Publisher: Springer
ISBN: 3642311199
Category : Technology & Engineering
Languages : en
Pages : 232
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Book Description
The monograph is about a meta-theory of knowledge-production process and the logical pathway that connects the epistemic possibility to the epistemic reality. It examines the general conditions of paradigms for information processing and isolates the classical and fuzzy paradigms for comparative analysis. The sets of conditions that give rise to them are defined, stated and analyzed to abstract the corresponding sets of laws of thought. The fuzzy paradigm with its corresponding logic and mathematics is related to inexact symbolism for the defective information structure where the results of the knowledge production must satisfy the epistemic conditionality, composed of fuzzy conditionality and fuzzy-stochastic conditionality under the principle of logical duality with continuum. The classical paradigm with its corresponding logic and mathematics is related to exact symbolism for exact information structure where the vagueness component of the defectiveness is assumed away, and where the results of the knowledge production must satisfy no epistemic conditionality or at the maximum only the stochastic conditionality under the principle of logical dualism with excluded middle. It is argued that the epistemic path that links ontological space to the epistemological space is information. The ontological space is taken as the primary category of reality while the epistemological space is shone to be a derivative. Such information is universally defective and together with assumptions imposed guides the development of paradigms with their laws of thought, logic of reasoning, mathematics and computational techniques. The relational structure is seen in terms of logical trinity with a given example as matter-information-energy transformational trinity which is supported by the time trinity of past-present-future relationality. The book is written for professionals, researchers and students working in philosophy of science, decision-choice theories, economies, sciences, computer science, engineering, cognitive psychology and researchers working on, or interested in fuzzy paradigm, fuzzy logic, fuzzy decisions, and phenomena of vagueness and ambiguities, fuzzy mathematics, fuzzy-stochastic processes and theory of knowledge. It is further aimed at research institutions and libraries. The subject matter belongs to extensive research and development taking place on fuzzy phenomena and the debate between the fuzzy paradigm and the classical paradigm relative to informatics, synergetic science and complexity theory. The book will have a global appeal and across disciplines. Its strength, besides the contents, is the special effort that is undertaken to make it relevant and accessible to different areas of sciences and knowledge production.
Author: Mircea Gh. Negoita
Publisher: Springer Science & Business Media
ISBN: 3540232052
Category : Business & Economics
Languages : en
Pages : 962
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Book Description
The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004. The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.
Author: Patrick Baert
Publisher: Routledge
ISBN: 1134004370
Category : Social Science
Languages : en
Pages : 236
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Book Description
Social scientists often refer to contemporary advanced societies as ‘knowledge societies’, which indicates the extent to which ‘science’, ‘knowledge’ and ‘knowledge production’ have become fundamental phenomena in Western societies and central concerns for the social sciences. This book aims to investigate the political dimension of this production and validation of knowledge. In studying the relationship between knowledge and politics, this book provides a novel perspective on current debates about ‘knowledge societies’, and offers an interdisciplinary agenda for future research. It addresses four fundamental aspects of the relation between knowledge and politics: • the ways in which the nature of the knowledge we produce affects the nature of political activity • how the production of knowledge calls into question fundamental political categories • how the production of knowledge is governed and managed • how the new technologies of knowledge produce new forms of political action. This book will be of interest to students of sociology, political science, cultural studies and science and technology studies.
Author: Deyi Li
Publisher: CRC Press
ISBN: 1584889993
Category : Business & Economics
Languages : en
Pages : 378
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Book Description
The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with U
