Wagner, Gerd.
Vivid Logic Knowledge-Based Reasoning with Two Kinds of Negation / [electronic resource] : by Gerd Wagner. - Berlin, Heidelberg : Springer Berlin Heidelberg, 1994. - XIII, 155 p. online resource. - Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 764 0302-9743 ; . - Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 764 .
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.
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.
9783540482888
10.1007/3-540-57604-5 doi
Computer science.
Artificial intelligence.
Logic, Symbolic and mathematical.
Computer Science.
Artificial Intelligence (incl. Robotics).
Mathematical Logic and Formal Languages.
Mathematical Logic and Foundations.
Q334-342 TJ210.2-211.495
006.3
Vivid Logic Knowledge-Based Reasoning with Two Kinds of Negation / [electronic resource] : by Gerd Wagner. - Berlin, Heidelberg : Springer Berlin Heidelberg, 1994. - XIII, 155 p. online resource. - Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 764 0302-9743 ; . - Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, 764 .
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.
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.
9783540482888
10.1007/3-540-57604-5 doi
Computer science.
Artificial intelligence.
Logic, Symbolic and mathematical.
Computer Science.
Artificial Intelligence (incl. Robotics).
Mathematical Logic and Formal Languages.
Mathematical Logic and Foundations.
Q334-342 TJ210.2-211.495
006.3