Title :
α-Generalized linear resolution method based on lattice-valued first-order logic system
Author :
Weitao Xu ; Yang Xu
Author_Institution :
Intell. Control Dev. Center, Southwest Jiaotong Univ., Chengdu, China
Abstract :
As a continuation of research work on a-generalized resolution for lattice-valued logic system, the α-generalized linear resolution method for lattice-valued first-order logic system LF(X) based on lattice implication algebra is presented, which can provide an automated reasoning tool for information processing and knowledge representation. The soundness theorem is established. By use of the lifting lemma, the weak completeness theorem is also investigated in lattice-valued first-order logic system. Additional, on the basis of the present method for lattice-valued first-order logic system LF(X), an a-generalized linear resolution automated reasoning algorithm is designed.
Keywords :
algebra; formal logic; inference mechanisms; knowledge representation; α-generalized linear resolution method; automated reasoning tool; information processing; knowledge representation; lattice implication algebra; lattice-valued first-order logic system; lifting lemma; soundness theorem; weak completeness theorem; Algebra; Algorithm design and analysis; Cognition; Educational institutions; Lattices; Presses; Semantics; automated reasoning; general g-clause; generalized linear resolution; lattice implication algebra; lattice-valued logic;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030314