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Vivid Logic [[electronic resource] ] : Knowledge-Based Reasoning with Two Kinds of Negation / / by Gerd Wagner



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Autore: Wagner Gerd Visualizza persona
Titolo: Vivid Logic [[electronic resource] ] : Knowledge-Based Reasoning with Two Kinds of Negation / / by Gerd Wagner Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1994
Edizione: 1st ed. 1994.
Descrizione fisica: 1 online resource (XIII, 155 p.)
Disciplina: 006.3/3
Soggetto topico: Artificial intelligence
Computer programming
Mathematical logic
Artificial Intelligence
Programming Techniques
Mathematical Logic and Formal Languages
Mathematical Logic and Foundations
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: General introduction -- Vivid knowledge representation and reasoning -- Partiality, paraconsistency and constructivity -- Vivid reasoning on the basis of facts -- Lindenbaum-algebraic semantics of logic programs -- Logic programming with strong negation and inexact predicates -- Vivid reasoning on the basis of rules -- Further topics, open problems.
Sommario/riassunto: Knowledge representation research is not only formal, it is also descriptiveand normative. Its aim is to implement a formal system which captures a practically relevant body of cognitive faculties employed by humans and capitalizes on its technical strength to extend human knowledge representation and reasoning capabilities. In this monograph, the author develops formalisms for his own notion of a vivid knowledge representation and reasoning system, characterized by the presence of two kinds of negation (weak and strong) and the requirements of restricted reflexivity, constructivity, and non-explosiveness. The book is based on work carried out within an interdisciplinary research project at the Free University of Berlin.
Titolo autorizzato: Vivid logic  Visualizza cluster
ISBN: 3-540-48288-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466013203316
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Serie: Lecture Notes in Artificial Intelligence ; ; 764