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States, Nations and Borders
This volume examines comparatively the views and principles of seven prominent ethical traditions on one of the most pressing issues of modern politics - the making and unmaking of state and national boundaries. The traditions represented are Judaism, Christianity, Islam, natural law, Confucianism, liberalism and international law. Each contributor, an expert within one of these traditions, shows how that tradition can handle the five dominant methods of altering state and national boundaries: conquest, settlement, purchase, inheritance and secession. Written by a distinguished group of international specialists this volume is unique in providing both in-depth normative and comparative perspectives on a troubling question that will offer readers real insight into inter-tradition conflict. Those readers will range from upper-level undergraduates to scholars in such fields as philosophy, political science, international relations and comparative religion.
The Craft and Science of Coffee
The Craft and Science of Coffee follows the coffee plant from its origins in East Africa to its current role as a global product that influences millions of lives though sustainable development, economics, and consumer desire.For most, coffee is a beloved beverage. However, for some it is also an object of scientifically study, and for others it is approached as a craft, both building on skills and experience. By combining the research and insights of the scientific community and expertise of the crafts people, this unique book brings readers into a sustained and inclusive conversation, one where academic and industrial thought leaders, coffee farmers, and baristas are quoted, each informing...
Genetic Algorithms in Search, Optimization, and Machine Learning
A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
