Uncertain Knowledge

Uncertain Knowledge

Author: Riki G. A. Dolby

Publisher: Cambridge University Press

Published: 2002-04-18

Total Pages: 394

ISBN-13: 9780521892629

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This book explores the image of science in the modern world.


Representing Uncertain Knowledge

Representing Uncertain Knowledge

Author: Paul Krause

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 287

ISBN-13: 9401120846

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The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an in creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main for malisms. In this book, we offer a broad perspective on uncertainty and approach es to managing uncertainty. Rather than provide a daunting mass of techni cal detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowl edge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current research di rections in the field. The intended readership will include researchers and practitioners in volved in the design and implementation of Decision Support Systems, Ex pert Systems, other Knowledge-Based Systems and in Cognitive Science.


Discovery And Fusion Of Uncertain Knowledge In Data

Discovery And Fusion Of Uncertain Knowledge In Data

Author: Kun Yue

Publisher: World Scientific

Published: 2017-09-28

Total Pages: 224

ISBN-13: 981322715X

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Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.


Drift

Drift

Author: Jeff Ferrell

Publisher: Univ of California Press

Published: 2018-03-16

Total Pages: 278

ISBN-13: 0520968271

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“This book was written late in the North American night, with the rumbling thuds and booming train horns of the nearby rail yard echoing through my windows, reminding me of the train hoppers and gutter punks out there rolling through the darkness.” In Drift, Jeff Ferrell shows how dislocation and disorientation can become phenomena in their own right. Examining the history of drifting, he situates contemporary drift within today’s economic, legal, and cultural dynamics. He also highlights a distinctly North American form of drift—that of the train-hopping hobo—by tracing the hobo’s legal and political history and by detailing his own immersion in the world of contemporary train-hoppers. Along the way, Ferrell sheds light on the ephemeral intensity of drifting communities and explores the contested politics of drift: the strategies that legal authorities employ to control drifters in the interest of economic development, the social and spatial dislocations that these strategies ironically exacerbate, and the ways in which drifters create their own slippery forms of resistance. Ferrell concludes that drift constitutes a necessary subject of social inquiry and a way of revitalizing social inquiry itself, offering as it does new models for knowing and engaging with the contemporary world.


Uncertainty in Artificial Intelligence

Uncertainty in Artificial Intelligence

Author: Didier J. Dubois

Publisher: Morgan Kaufmann

Published: 2014-05-12

Total Pages: 379

ISBN-13: 1483282872

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Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference (1992) covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on July 17-19, 1992. The book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence. The selection first offers information on Relative Evidential Support (RES), modal logics for qualitative possibility and beliefs, and optimizing causal orderings for generating DAGs from data. Discussions focus on reversal, swap, and unclique operators, modal representation of possibility, and beliefs and conditionals. The text then examines structural controllability and observability in influence diagrams, lattice-based graded logic, and dynamic network models for forecasting. The manuscript takes a look at reformulating inference problems through selective conditioning, entropy and belief networks, parallelizing probabilistic inference, and a symbolic approach to reasoning with linguistic quantifiers. The text also ponders on sidestepping the triangulation problem in Bayesian net computations; exploring localization in Bayesian networks for large expert systems; and expressing relational and temporal knowledge in visual probabilistic networks. The selection is a valuable reference for researchers interested in artificial intelligence.


Learning for sustainability in times of accelerating change

Learning for sustainability in times of accelerating change

Author: Arjen E.J. Wals

Publisher: BRILL

Published: 2023-09-04

Total Pages: 549

ISBN-13: 908686757X

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We live in turbulent times, our world is changing at accelerating speed. Information is everywhere, but wisdom appears in short supply when trying to address key inter-related challenges of our time such as; runaway climate change, the loss of biodiversity, the depletion of natural resources, the on-going homogenization of culture, and rising inequity. Living in such times has implications for education and learning. This book explores the possibilities of designing and facilitating learning-based change and transitions towards sustainability. In 31 chapters contributors from across the world discuss (re)emerging forms of learning that not only assist in breaking down unsustainable routines, forms of governance, production and consumption, but also can help create ones that are more sustainable. The book has been divided into three parts: re-orienting science and society, re-connecting people and planet and re-imagining education and learning. This is essential reading for educators, educational designers, change agents, researchers, students, policymakers and entrepreneurs alike, who are concerned about the well-being of the planet and convinced of our ability to do better. The content and related issues can be discussed on the blog by editor Arjen Wals: Transformative learning. 'We are living in times of incertitude, complexity, and contestation, but also of connectivity, responsibility, and new opportunities. This book analyses the consequences of these times for learning in formal, non-formal, and informal education. It explores the possibilities offered by the concept of sustainability as a central category of a holistic paradigm which harmonizes human beings with Earth. To change people and to change the world are interdependent processes - this book contributes to both.' Moacir Gadotti, Director of Paulo Freire Institute, São Paulo, Brazil 'I hope you share my excitement about the innovations for sustainability that this book catalogues and analyses. While the ecological news is grim, the human news is not. Even in a time of accelerating change, people are showing their enormous capacities to learn, adapt, restore and protect.' From the Foreword by Juliet Schor, author of ‘True Wealth: how and why millions of Americans are creating a time-rich, ecologically-light, small-scale high-satisfaction economy’ 'This book implies a ‘culture of critical commitment’ in educational thinking and practice - engaged enough to make a real difference to social-ecological resilience and sustainability but reflexively critical enough to learn constantly from experience and to keep options open in working for a sustainability transformation.' From the Afterword by Stephen Sterling, Professor of Sustainability Education, Centre for Sustainable Futures, Plymouth University, United Kingdom


Money, Uncertainty and Time

Money, Uncertainty and Time

Author: Giuseppe Fontana

Publisher: Routledge

Published: 2008-09-11

Total Pages: 161

ISBN-13: 1134466315

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This excellent new book from one of the brightest young economists, Giuseppe Fontana, involves a compendium of issues surrounding uncertainty, money and time. Fontana shines a post Keynesian light onto statements and claims made by well-known neo-classical authors and as such leaves readers with an interesting and informative book to be read and re-read by all those scholars and students involved with monetary economics.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

Author: Xiaochun Yang

Publisher: Springer Nature

Published: 2023-12-06

Total Pages: 717

ISBN-13: 3031466748

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This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.


Uncertainty Treatment Using Paraconsistent Logic

Uncertainty Treatment Using Paraconsistent Logic

Author: João Inácio da Silva Filho

Publisher: IOS Press

Published: 2010

Total Pages: 328

ISBN-13: 1607505576

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This book aggregates much of this research, from 1999 up to the present. Organized to facilitate an understanding of the theory and the development of the applied methods, Uncertainty Treatment Using Praconsistent Logic presents the material in a sequential fashion and is divided into three parts.


Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Author: Bilal M. Ayyub

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 376

ISBN-13: 146155473X

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Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.