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The Communal Experience
The original impulse for groups to separate from society and establish communities of their own was religious. Though the religious side of this drive toward separation remains strong, the last two centuries have seen the appearance of secular communities with a socialist or anarchist orientation. In The Communal Experience, nominated for a National Book Award in 1973, Laurence Veysey explores the close resemblances between the secular and religious forms of cultural radicalism through intensive observation of four little-known communities. Veysey compares the history of secular communities such as the early Ferrer Colony and Modern School, of Shelton, New Jersey, with contemporary anarchist...
Enemies Within
Two Pulitzer Prize–winning journalists take an unbridled look into one of the most sensitive post-9/11 national security investigations—a breathtaking race to stop a second devastating terrorist attack on American soil. In Enemies Within, Matt Apuzzo and Adam Goldman “reveal how New York really works” (James Risen, author of State of War) and lay bare the complex and often contradictory state of counterterrorism and intelligence in America through the pursuit of Najibullah Zazi, a terrorist bomber who trained under one of bin Laden’s most trusted deputies. Zazi and his co-conspirators represented America’s greatest fear: a terrorist cell operating inside America. This real-life s...
Within Our Gates
"[These volumes] are endlessly absorbing as an excursion into cultural history and national memory."--Arthur Schlesinger, Jr.
PROOF
The boy of her first love reappears as an even more beautiful young man... When the friend she loved like a sister died a suspicious death, Alex, a female FBI agent, did everything she could to find the truth, but her investigations were always preceded by a mysterious man. Is he friend or foe? He was the man who, 15 years ago, infiltrated Alex's alma mater, the elite boarding school for girls, Athena Academy, and made the girls' hearts flutter as the mysterious Dark Angel, becoming a legend. He was also Alex's first love. But why did the Dark Angel show up at our alma mater again?
Decision Making Under Uncertainty and Constraints
This book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation. Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religion—and, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas. Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques.
Applications of Fuzzy Techniques
This book is of interest to practitioners, researchers and graduate students seeking to apply existing techniques, to learn about the state of the art, or to explore novel concepts, in the theory and application of fuzzy sets and logic. Human knowledge and judgement are essential in both designing technological systems and in evaluating their outcomes. However, humans think and communicate in imprecise concepts, not numbers. Fuzzy sets and logic are well-known, widely used approaches to bridging this gap, which have been studied for nearly 60 years. NAFIPS 2022 brought together researchers studying both the theoretical foundations of fuzzy logic and its application to real-world problems. Their work examined fuzzy solutions to problems as diverse as astronomy, chemical engineering, economics, energy engineering, health care, and transportation engineering. Many papers combined fuzzy logic with interval or probabilistic computing, neural networks, and genetic algorithms.
