Authors:
Xue Li
;
Alan Bundy
and
Alan Smaill
Affiliation:
CISA, School of Informatics, University of Edinburgh, 10 Crichton St, Edinburgh and U.K.
Keyword(s):
Theory Repair, Automated Reasoning, Knowledge Representation, Abduction, Belief Revision, Conceptual Change, Datalog.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Domain Analysis and Modeling
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
This paper aims to develop a domain-independent system for repairing faulty Datalog-like theories by combining three existing techniques: abduction, belief revision and conceptual change. From the three repair technique candidates, the proposed system is named the ABC repair system. Given an observed assertion and a current theory, abduction adds axioms which represent the simplest and most likely explanation. Belief revision incorporates a new piece of information which conflicts with input theory by deleting old axioms from the input theory. Conceptual change uses the reformation algorithm for blocking unwanted proofs or unblocking wanted proofs. The former two techniques change an axiom as a whole, while reformation changes the language in which the theory is written. These three techniques are complementary: abduction adds new axioms, belief revision deletes conflicting axioms, while reformation changes the language of the theory. But they have not previously been combined into o
ne system. We are working on aligning these three techniques in the ABC repair system, which is capable of repairing logical theories with better quality than individual techniques. Datalog is used as the underlying logic of theories in this paper, but the proposed system has the potential to be adapted to theories in other logics.
(More)