Title :
Defeasible logic graphs for decision support
Author :
Nute, Donald ; Erk, Katrin
Author_Institution :
Artificial Intelligence Centre, Georgia Univ., Athens, GA, USA
Abstract :
Knowledge based systems provide decision support by applying a previously developed representation of knowledge for a particular domain. We describe a method for representing knowledge about any domain using defeasible logic graphs. Because these graphs are based on a defeasible logic of the sort described in (Nute, 1992), they can represent uncertain or incomplete knowledge. We reason about the represented domain by propagating markers in the graph to show which propositions are true, false, or unestablished. We propose to construct an argumentation based software system incorporating defeasible logic graphs. We establish the formal foundations for such a system by showing that the inference mechanism for defeasible logic graphs is sound and complete with respect to defeasible logic
Keywords :
decision support systems; formal logic; graph theory; knowledge based systems; knowledge representation; nonmonotonic reasoning; uncertainty handling; argumentation; decision support system; defeasible logic; defeasible logic graphs; incomplete knowledge; inference mechanism; knowledge based systems; knowledge representation; reasoning; uncertain knowledge; Artificial intelligence; Computer science; Fuzzy logic; Graphics; Inference mechanisms; Knowledge based systems; Logic design; Probabilistic logic; Software design; Software systems;
Conference_Titel :
System Sciences, 1996., Proceedings of the Twenty-Ninth Hawaii International Conference on ,
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-7324-9
DOI :
10.1109/HICSS.1996.495375