In the late 1980s regional integration emerged as one of the most important developments in world politics. It is not a new phenomenon, however, and this 1999 book presents an analysis of integration across time, and across regions. Walter Mattli examines projects in nineteenth- and twentieth-century Europe, but also in Latin America, North America and Asia since the 1950s. Using the tools of political economy, he considers why some integration schemes have succeeded while many others have failed; what forces drive the process of integration; and under what circumstances outside countries seek to join. Unlike traditional political science approaches, the book stresses the importance of market forces in determining the outcome of integration; but unlike purely economic analyses, it also highlights the impact of institutional factors. The book will provide students of political science, economics, and European studies with a framework for the study of international cooperation.

Provides an introduction to the problem of data integration and offers a rigorous account of one of the leading approaches to solving this problem - the relational logic approach. Relational logic provides a theoretical framework for discussing data integration. Moreover, in many important cases, it provides algorithms for solving the problem in a computationally practical way.

Learn how to create sophisticated and reliable Logic Apps with improved UX Key FeaturesBecome an Azure Master and create data flows within a matter of minutesPerform transfers using Logic Apps with prompt resultsCreate powerful Logic Apps by enhancing your systems to improve user experienceBook Description Logic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results. You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code. By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience. What you will learnUnderstand how to use blades, overview pages, and subscription pagesDiscover how to create a Microsoft account to manage your tenantUse a Visual Studio subscription with Azure to manage your Logic AppsFind out how to manage the cloud by analyzing runs, executions, and costsCreate resource groups to zone your enterprise environmentsSupport a development life cycle from sandbox through to productionWho this book is for If you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.

The 1960s were perhaps a decade of confusion, when scientists faced d- culties in dealing with imprecise information and complex dynamics. A new set theory and then an in?nite-valued logic of Lot? A. Zadeh were so c- fusing that they were called fuzzy set theory and fuzzy logic; a deterministic system found by E. N. Lorenz to have random behaviours was so unusual that it was lately named a chaotic system. Just like irrational and imaginary numbers, negative energy, anti-matter, etc., fuzzy logic and chaos were gr- ually and eventually accepted by many, if not all, scientists and engineers as fundamental concepts, theories, as well as technologies. In particular, fuzzy systems technology has achieved its maturity with widespread applications in many industrial, commercial, and technical ?elds, ranging from control, automation, and arti?cial intelligence to image/signal processing,patternrecognition,andelectroniccommerce.Chaos,ontheother hand,wasconsideredoneofthethreemonumentaldiscoveriesofthetwentieth century together with the theory of relativity and quantum mechanics. As a very special nonlinear dynamical phenomenon, chaos has reached its current outstanding status from being merely a scienti?c curiosity in the mid-1960s to an applicable technology in the late 1990s. Finding the intrinsic relation between fuzzy logic and chaos theory is certainlyofsigni?cantinterestandofpotentialimportance.Thepast20years have indeed witnessed some serious explorations of the interactions between fuzzylogicandchaostheory,leadingtosuchresearchtopicsasfuzzymodeling of chaotic systems using Takagi–Sugeno models, linguistic descriptions of chaotic systems, fuzzy control of chaos, and a combination of fuzzy control technology and chaos theory for various engineering practices.

A Eurasian transformation is underway, and it flows from China. With a geopolitically central location, the country's domestic and international policies are poised to change the face of global affairs. The Belt and Road Initiative has called attention to a deepening Eurasian continentalism that has, argues Kent Calder, much more significant implications than have yet been recognized. In Super Continent, Calder presents a theoretically guided and empirically grounded explanation for these changes. He shows that key inflection points, beginning with the Four Modernizations and the collapse of the Soviet Union; and culminating in China's response to the Global Financial Crisis and Crimea's annexation, are triggering tectonic shifts. Furthermore, understanding China's emerging regional and global roles involves comprehending two ongoing transformations—within China and across Eurasia as a whole—and that the two are profoundly interrelated. Calder underlines that the geo-economic logic that prevailed across Eurasia before Columbus, and that made the Silk Road a central thoroughfare of world affairs for close to two millennia, is reasserting itself once again.

With his groundbreaking and controversial DIM hypothesis, Dr. Leonard Peikoff casts a penetrating new light on the process of human thought, and thereby on Western culture and history. In this far-reaching study, Peikoff identifies the three methods people use to integrate concrete data into a whole, as when connecting diverse experiments by a scientific theory, or separate laws into a Constitution, or single events into a story. The first method, in which data is integrated through rational means, he calls Integration. The second, which employs non-rational means, he calls Misintegration. The third is Disintegration—which is nihilism, the desire to tear things apart. In The DIM Hypothesis Peikoff demonstrates the power of these three methods in shaping the West, by using the categories to examine the culturally representative fields of literature, physics, education, and politics. His analysis illustrates how the historical trends in each field have been dominated by one of these three categories, not only today but during the whole progression of Western culture from its beginning in Ancient Greece. Extrapolating from the historical pattern he identifies, Peikoff concludes by explaining why the lights of the West are going out—and predicts the most likely future for the United States.

The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of using a formal mechanism for AI arose. It is therefore appropriate to consider some of the research, applications and implementations that have resulted from this idea. In early 1995 John McCarthy suggested to me that we have a workshop on Logic-Based Artificial Intelligence (LBAI). In June 1999, the Workshop on Logic-Based Artificial Intelligence was held as a consequence of McCarthy's suggestion. The workshop came about with the support of Ephraim Glinert of the National Science Foundation (IIS-9S2013S), the American Association for Artificial Intelligence who provided support for graduate students to attend, and Joseph JaJa, Director of the University of Maryland Institute for Advanced Computer Studies who provided both manpower and financial support, and the Department of Computer Science. We are grateful for their support. This book consists of refereed papers based on presentations made at the Workshop. Not all of the Workshop participants were able to contribute papers for the book. The common theme of papers at the workshop and in this book is the use of logic as a formalism to solve problems in AI.