LEADER 03424nam 22006135 450 001 996466013203316 005 20200630194016.0 010 $a3-540-48288-1 024 7 $a10.1007/3-540-57604-5 035 $a(CKB)1000000000234072 035 $a(SSID)ssj0000327586 035 $a(PQKBManifestationID)11245612 035 $a(PQKBTitleCode)TC0000327586 035 $a(PQKBWorkID)10301792 035 $a(PQKB)10780699 035 $a(DE-He213)978-3-540-48288-8 035 $a(PPN)155227149 035 $a(EXLCZ)991000000000234072 100 $a20121227d1994 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVivid Logic$b[electronic resource] $eKnowledge-Based Reasoning with Two Kinds of Negation /$fby Gerd Wagner 205 $a1st ed. 1994. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1994. 215 $a1 online resource (XIII, 155 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v764 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-57604-5 327 $aGeneral 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. 330 $aKnowledge representation research is not only formal, it is also descriptiveand normative. Its aim is to implement a formal system which captures a practically relevant body of cognitive faculties employed by humans and capitalizes on its technical strength to extend human knowledge representation and reasoning capabilities. In this monograph, the author develops formalisms for his own notion of a vivid knowledge representation and reasoning system, characterized by the presence of two kinds of negation (weak and strong) and the requirements of restricted reflexivity, constructivity, and non-explosiveness. The book is based on work carried out within an interdisciplinary research project at the Free University of Berlin. 410 0$aLecture Notes in Artificial Intelligence ;$v764 606 $aArtificial intelligence 606 $aComputer programming 606 $aMathematical logic 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aMathematical Logic and Foundations$3https://scigraph.springernature.com/ontologies/product-market-codes/M24005 615 0$aArtificial intelligence. 615 0$aComputer programming. 615 0$aMathematical logic. 615 14$aArtificial Intelligence. 615 24$aProgramming Techniques. 615 24$aMathematical Logic and Formal Languages. 615 24$aMathematical Logic and Foundations. 676 $a006.3/3 700 $aWagner$b Gerd$4aut$4http://id.loc.gov/vocabulary/relators/aut$0714614 906 $aBOOK 912 $a996466013203316 996 $aVivid logic$91381946 997 $aUNISA