Safe inductions and their applications in knowledge representation

作者:

摘要

In many knowledge representation formalisms, a constructive semantics is defined based on sequential applications of rules or of a semantic operator. These constructions often share the property that rule applications must be delayed until it is safe to do so: until it is known that the condition that triggers the rule will continue to hold. This intuition occurs for instance in the well-founded semantics of logic programs and in autoepistemic logic. In this paper, we formally define the safety criterion algebraically. We study properties of so-called safe inductions and apply our theory to logic programming and autoepistemic logic. For the latter, we show that safe inductions manage to capture the intended meaning of a class of theories on which all classical constructive semantics fail.

论文关键词:Approximation fixpoint theory,Lattice operator,Inductive definitions,Induction process,Construction,Well-founded semantics,Groundedness,Logic programming,Autoepistemic logic,Abstract argumentation

论文评审过程:Received 1 December 2017, Revised 13 March 2018, Accepted 25 March 2018, Available online 28 March 2018, Version of Record 6 April 2018.

论文官网地址:https://doi.org/10.1016/j.artint.2018.03.008