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.
Author(s): Gerd Wagner (auth.)
Series: Lecture Notes in Computer Science 764 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1994
Language: English
Pages: 155
City: Berlin; New York
Tags: Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages; Mathematical Logic and Foundations
General introduction....Pages 1-6
Vivid knowledge representation and reasoning....Pages 7-39
Partiality, paraconsistency and constructivity....Pages 41-62
Vivid reasoning on the basis of facts....Pages 63-74
Lindenbaum-algebraic semantics of logic programs....Pages 75-87
Logic programming with strong negation and inexact predicates....Pages 89-110
Vivid reasoning on the basis of rules....Pages 111-129
Further topics, open problems....Pages 131-135
