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."

In an age of online education and educational philosophies like "flipping the classroom," does the lecture have any role in today's university? Drawing from the humanities and social sciences and from a range of different types of schools, The College Lecture Today makes the affirmative case for the lecture in the humanities and social and political sciences. These essays explore how to lecture without sacrificing theoretical knowledge.

This book brings to readers thirteen chapters with contributions to the benefits of using IoT and Cloud Computing to agro-ecosystems from a multi-disciplinary perspective. IoT and Cloud systems have prompted the development of a Cloud digital ecosystem referred to as Cloud-to-thing continuum computing. The key success of IoT computing and the Cloud digital ecosystem is that IoT can be integrated seamlessly with the physical environment and therefore has the potential to leverage innovative services in agro-ecosystems. Areas such as ecological monitoring, agriculture, and biodiversity constitute a large area of potential application of IoT and Cloud technologies. In contrast to traditional agriculture systems that have employed aggressive policies to increase productivity, new agro-ecosystems aim to increase productivity but also achieve efficiency and competitiveness in modern sustainable agriculture and contribute, more broadly, to the green economy and sustainable food-chain industry. Fundamental research as well as concrete applications from various real-life scenarios, such as smart farming, precision agriculture, green agriculture, sustainable livestock and sow farming, climate threat, and societal and environmental impacts, is presented. Research issues and challenges are also discussed towards envisioning efficient and scalable solutions to agro-ecosystems based on IoT and Cloud technologies. Our fundamental belief is that we can collectively trigger a new revolution that will transition agriculture into an equable system that not only feeds the world, but also contributes to mitigating the climate change and biodiversity crises that our historical actions have triggered.

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."

Tired of the routine? Ready to break out of the monotony of normal life and enter into the unspeakable glory God has for you. Well then you are being called out The call is simple but costly, to live a life wholly abandoned to love. Paul Krause does so much more than just create a theological treatise. With solid biblical foundations, he takes the call of the Gospel and brings it to life in his own life. Through intentionally chosen stories, woven into timely revelation from the word, Paul calls you to live the true life of a disciple.

Introducing a new edition of the popular reference on machine analysis

Now in a fully revised and expanded edition, this widely used reference on machine analysis boasts many changes designed to address the varied needs of engineers in the electric machinery, electric drives, and electric power industries. The authors draw on their own extensive research efforts, bringing all topics up to date and outlining a variety of new approaches they have developed over the past decade.

Focusing on reference frame theory that has been at the core of this work since the first edition, this volume goes a step further, introducing new material relevant to machine design along with numerous techniques for making the derivation of equations more direct and easy to use.

Coverage includes: Completely new chapters on winding functions and machine design that add a significant dimension not found in any other textA new formulation of machine equations for improving analysis and modeling of machines coupled to power electronic circuitsSimplified techniques throughout, from the derivation of torque equations and synchronous machine analysis to the analysis of unbalanced operationA unique generalized approach to machine parameters identification

A first-rate resource for engineers wishing to master cutting-edge techniques for machine analysis, "Analysis of Electric Machinery and Drive Systems" is also a highly useful guide for students in the field.

This is an EXACT reproduction of a book published before 1923. This IS NOT an OCR'd book with strange characters, introduced typographical errors, and jumbled words. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.

Named one of the fifty best books of 1992 by Publishers Weekly More than a century has passed since the infamous lockout at the Homestead Works of the Carnegie Steel Company. The dramatic and violent events of July 6, 1892, are among the mst familiar in the history of American labor. And yet, few historians have adequately addressed the issues and the culture that shaped that day. For many Americans, Homestead remains simply the story of a bloody clash between management and labor. In The Battle for Homestead, Paul Krause calls upon the methods and insights of labor history, intellectual history, anthropology, and the history of technology to situate the events of the lockout and their significance in the broad context of America's Guilded Age. Utilizing extensive archival material, much of it heretofore unknown, he reconstructs the social, intellectual, and political climate of the burgeoning post-Civil War steel industry. The Battle for Homestead brings to life many of the individuals -both in and outside Homestead- who played a role in the events leading to July 1892. From the inventor of the modern Bessemer steel mill to the most obscure immigrant workers, from Christopher L. Magee, the "boss" of Pittsburgh machine politics, to Thomas A. Armstrong, the tireless editor of the National Labor Tribune, from the "Laird of Skibo" himself (Andrew Carnegie) to the labor leader and mayor of Homestead, "Old Beeswax" (Thomas W. Taylor), Krause shows how all these lives became intertwined, often in surprising and unpredictable ways, as the drama of the lockout unfolded. As the nineteenth century was drawing to a close, the Homestead Lockout dramatized the all-important question: Can the land of industry and technological innovation continue to be "the land of the free"? Can material progress, with its inevitable social and economic inequities, be made compatible with the American commitment to democracy for all? Twentieth-century history has demonstrated all too clearly the intesity of this dilemma. In addressing some of the thorniest issues of the last century, The Battle for Homestead demonstrates the enduring legacy and relevance of Homestead over a century later.