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Publicado por Association for Computing Machinery, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
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Publicado por Association for Computing Machinery, 2018
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Publicado por Association for Computing Machinery, 2018
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Publicado por Association for Computing Machinery, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
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ISBN 10: 1970001968 ISBN 13: 9781970001969
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ISBN 10: 1970001992 ISBN 13: 9781970001990
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Publicado por Association for Computing Machinery, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
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Añadir al carritoHardcover. Condición: Brand New. 615 pages. 9.50x7.75x1.50 inches. In Stock. This item is printed on demand.
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Publicado por Morgan & Claypool Publishers, 2018
ISBN 10: 1970001968 ISBN 13: 9781970001969
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Idioma: Inglés
Publicado por Morgan & Claypool Publishers, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
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Idioma: Inglés
Publicado por Association for Computing Machinery, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Idioma: Inglés
Publicado por Association For Computing Machinery, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 145,27
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Librería: preigu, Osnabrück, Alemania
EUR 162,60
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Añadir al carritoTaschenbuch. Condición: Neu. Declarative Logic Programming | Theory, Systems, and Applications | Michael Kifer (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | ACM Books | EAN 9781970001969 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Association for Computing Machinery, 2018
ISBN 10: 1970001992 ISBN 13: 9781970001990
Librería: preigu, Osnabrück, Alemania
EUR 184,95
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Añadir al carritoBuch. Condición: Neu. Declarative Logic Programming | Theory, Systems, and Applications | Michael Kifer (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2018 | Association for Computing Machinery | EAN 9781970001990 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.