Michael dahr (5 resultados)
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Librería: Midtown Scholar Bookstore, Harrisburg, PA, Estados Unidos de AmericaMidtown Scholar Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 10,51
Envío por EUR 5,21Se envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
paperback. Condición: Very Good. Very Good - Crisp, clean, unread book with some shelfwear/edgewear, may have a remainder mark - NICE PAPERBACK Standard-sized.
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Librería: Midtown Scholar Bookstore, Harrisburg, PA, Estados Unidos de AmericaMidtown Scholar Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 10,73
Envío por EUR 5,21Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
paperback. Condición: Good. Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD PAPERBACK Standard-sized.
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- Primera edición
Librería: Verlag Dr. Kovac GmbH, Hamburg, AlemaniaVerlag Dr. Kovac GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 45,90
Envío por EUR 17,60Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Softcover. Condición: neu. 1. Auflage. Forschungsergebnisse zur Informatik, Band 13 140 pages. Joining ideas from database theory and logic programming leads to the theory of deductive databases. In addition to the data stored in a database (extensional facts), a deductive database stores rule based knowledge concerning parts of… the real world which are modeled by the system. A deductive database management system (DDBMS) consists of two parts: 1) An arbitrary database management system and 2) a deduction mechanism that uses extensional as well as intensional facts and rules for deducing new data (intensional facts). Since rules can be seen as a declarative (programming, query) language, one of the main serious problems arising from logic programming and deductive databases is to find a (constructive) semantics which coincides with the user's intuitive meaning of the rules. The aim of this work is to introduce a Petri net semantics for logic programs and deductive databases which is more constructive than any currently known semantics. Logic programs and deductive databases are transformed into a Petri net class whose elements are called, according to their dynamical behaviour, fixpoint nets. The problems of non-monotonic reasoning are expressed by means of generalized conflict situations in fixpoint nets. The semantics of a logic program or a deductive database is defined by means of logical consequences of a set of (possibly three-valued) models, which can be generated from the saturated marking of the program's Petri net representation. It is shown that for stratified normal programs and for positive disjunctive programs the Petri net semantics coincides with the perfect model semantics and the Minker/Rajasekar semantics respectively.
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Librería: Better World Books: West, Reno, NV, Estados Unidos de AmericaBetter World Books: West
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 102,56
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 110,41
Envío por EUR 13,99Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.


