TY - JOUR
T1 - Conservative extension concepts for nonmonotonic knowledge bases
AU - Antoniou, G.
AU - MacNish, C. K.
PY - 2000/9/1
Y1 - 2000/9/1
N2 - Conservative extensions of logical theories play an important role in software engineering. They provide a formal basis for program refinement and guarantee the integrity and transparency of modules and objects. This paper provides a detailed analysis of conservative extension concepts in the context of nonmonotonic knowledge bases, in particular default theories. Since there are different approaches to nonmonotonic reasoning based on different strategies for dealing with multiple extensions, we define several alternative refinement concepts and study their interrelationships. We also show that refinement is well behaved with respect to strong stratification, a technique for reducing computational effort in default reasoning.
AB - Conservative extensions of logical theories play an important role in software engineering. They provide a formal basis for program refinement and guarantee the integrity and transparency of modules and objects. This paper provides a detailed analysis of conservative extension concepts in the context of nonmonotonic knowledge bases, in particular default theories. Since there are different approaches to nonmonotonic reasoning based on different strategies for dealing with multiple extensions, we define several alternative refinement concepts and study their interrelationships. We also show that refinement is well behaved with respect to strong stratification, a technique for reducing computational effort in default reasoning.
KW - Computational complexity
KW - Formal logic
KW - Knowledge acquisition
KW - Software engineering
UR - http://www.scopus.com/inward/record.url?scp=0034273106&partnerID=8YFLogxK
U2 - 10.1002/1098-111X(200009)15:9<859::AID-INT3>3.0.CO;2-E
DO - 10.1002/1098-111X(200009)15:9<859::AID-INT3>3.0.CO;2-E
M3 - Article
AN - SCOPUS:0034273106
VL - 15
SP - 859
EP - 877
JO - International Journal of Intelligent Systems
JF - International Journal of Intelligent Systems
SN - 0884-8173
IS - 9
ER -