The idea of this book grew out of a symposium that was held at Stony Brook in September 2012 in celebration of David S.Warren's fundamental contributions to Computer Science and the area of Logic Programming in particular. Logic Programming (LP) is at the nexus of Knowledge Representation, Artificial Intelligence, Mathematical Logic, Databases, and Programming Languages. It is fascinating and intellectually stimulating due to the fundamental interplay among theory, systems, and applications brought about by logic. Logic programs are more declarative in the sense that they strive to be logical specifications of "what" to do rather than "how" to do it, and thus they are high-level and easier to understand and maintain. Yet, without being given an actual algorithm, LP systems implement the logical specifications automatically. Several books cover the basics of LP but focus mostly on the Prolog language with its incomplete control strategy and non-logical features. At the same time, there is generally a lack of accessible yet comprehensive collections of articles covering the key aspects in declarative LP. These aspects include, among others, well-founded vs. stable model semantics for negation, constraints, object-oriented LP, updates, probabilistic LP, and evaluation methods, including top-down vs. bottom-up, and tabling. For systems, the situation is even less satisfactory, lacking accessible literature that can help train the new crop of developers, practitioners, and researchers. There are a few guides onWarren’s Abstract Machine (WAM), which underlies most implementations of Prolog, but very little exists on what is needed for constructing a state-of-the-art declarative LP inference engine. Contrast this with the literature on, say, Compilers, where one can first study a book on the general principles and algorithms and then dive in the particulars of a specific compiler. Such resources greatly facilitate the ability to start making meaningful contributions quickly. There is also a dearth of articles about systems that support truly declarative languages, especially those that tie into first-order logic, mathematical programming, and constraint solving. LP helps solve challenging problems in a wide range of application areas, but in-depth analysis of their connection with LP language abstractions and LP implementation methods is lacking. Also, rare are surveys of challenging application areas of LP, such as Bioinformatics, Natural Language Processing, Verification, and Planning. The goal of this book is to help fill in the previously mentioned void in the LP literature. It offers a number of overviews on key aspects of LP that are suitable for researchers and practitioners as well as graduate students. The following chapters in theory, systems, and applications of LP are included.
Annotation This book is an introduction to the design and implementation of operating systems using OSP 2, the next generation of the highly popular OSP courseware for undergraduate operating system courses. Coverage details process and thread management; memory, resource and I/0 device management; and interprocess communication. The book allows students to practice these skills in a realistic operating systems programming environment. An Instructors Manual details how to use the OSP Project Generator and sample assignments. Even in one semester, students can learn a host of issues in operating system design.
This LNCS Journal presents notable work that, in one way or another, addresses research and development on issues related to data semantics. Its scope ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working in the field, from the semantic web and mobile information services to ontologies and artificial intelligence.
This book constitutes the refereed proceedings of the 4th European Semantic Web Conference, ESWC 2007, held in Innsbruck, Austria, in June 2007. Coverage includes semantic Web services, ontology learning, inference and mapping, social semantic Web, ontologies, personalization, foundations of the semantic Web, natural languages and ontologies, and querying and Web data models.
Annotation This book is an introduction to the design and implementation of operating systems using OSP 2, the next generation of the highly popular OSP courseware for undergraduate operating system courses. Coverage details process and thread management; memory, resource and I/0 device management; and interprocess communication. The book allows students to practice these skills in a realistic operating systems programming environment. An Instructors Manual details how to use the OSP Project Generator and sample assignments. Even in one semester, students can learn a host of issues in operating system design.
Speeches and columns Michael Clayton wrote for the mayor of New Orleans, scripts for television shows, interviews and profiles of celebrities, book and film reviews, news stories written for newspapers in Las Vegas, New Orleans and Los Angeles, as well as material Clayton wrote for stand-up comedians, and social commentary Clayton published throughout the United States...THE WORKS!!!
The American welfare state is often blamed for exacerbating social problems confronting African Americans while failing to improve their economic lot. Michael K. Brown contends that our welfare system has in fact denied them the social provision it gives white citizens while stigmatizing them as recipients of government benefits for low income citizens. In his provocative history of America's "safety net" from its origins in the New Deal through much of its dismantling in the 1990s, Brown explains how the forces of fiscal conservatism and racism combined to shape a welfare state in which blacks are disproportionately excluded from mainstream programs.Brown describes how business and middle class opposition to taxes and spending limited the scope of the Social Security Act and work relief programs of the 1930s and the Great Society in the 1960s. These decisions produced a welfare state that relies heavily on privately provided health and pension programs and cash benefits for the poor. In a society characterized by pervasive racial discrimination, this outcome, Michael Brown makes clear, has led to a racially stratified welfare system: by denying African Americans work, whites limited their access to private benefits as well as to social security and other forms of social insurance, making welfare their "main occupation." In his conclusion, Brown addresses the implications of his argument for both conservative and liberal critiques of the Great Society and for policies designed to remedy inner-city poverty.
The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.
Political Behavior of the American Electorate, Fifteenth Edition, attempts to answer this question by interpreting data from the most recent American National Election Study to provide a thorough analysis of the 2020 elections and the current American political behavior.
This study argues that the century after the Reformation saw a crisis in the way that Europeans expressed their religious experience. Focusing specifically on how this crisis affected the drama of England, O'Connell shows that Reformation culture was preoccupied with idolatry and that the theater was frequently attacked as idolatrous. This anti-theatricalism notably targeted the traditional cycles of mystery plays--a type of vernacular, popular biblical theater that from a modern perspective would seem ideally suited to advance the Reformation project. The Idolatrous Eye provides a wide perspective on iconoclasm in the sixteenth century, and in so doing, helps us to understand why this biblical theater was found transgressive and what this meant for the secular theater that followed.
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