A Brief Survey on Forgetting from a Knowledge Representation and Reasoning Perspective

被引:37
|
作者
Eiter, Thomas [1 ]
Kern-Isberner, Gabriele [2 ]
机构
[1] TU Wien, Inst Logic & Computat, Vienna, Austria
[2] TU Dortmund, Dept Comp Sci, Dortmund, Germany
来源
KUNSTLICHE INTELLIGENZ | 2019年 / 33卷 / 01期
关键词
Forgetting; Knowledge representation and reasoning; Logic; Answer set programming; Nonmononotonic reasoning; Modal logics; Interpolation; Relevance; Independence; LOGIC; CIRCUMSCRIPTION; REVISION;
D O I
10.1007/s13218-018-0564-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Forgetting is an ambivalent concept of (human) intelligence. By definition, it is negatively related to knowledge in that knowledge is lost, be it deliberately or not, and therefore, forgetting has not received as much attention in the field of knowledge representation and reasoning (KRR) as other processes with a more positive orientation, like query answering, inference, or update. However, from a cognitive view, forgetting also has an ordering function in the human mind, suppressing information that is deemed irrelevant and improving cognitive capabilities to focus and deal only with relevant aspects of the problem under consideration. In this regard, forgetting is a crucial part of reasoning. This paper collects and surveys approaches to forgetting in the field of knowledge representation and reasoning, highlighting their roles in diverse tasks of knowledge processing, and elaborating on common techniques. We recall forgetting operations for propositional and predicate logic, as well as for answer set programming (as an important representative of nonmonotonic logics) and modal logics. We discuss forgetting in the context of (ir)relevance and (in)dependence, and explicit the role of forgetting for specific tasks of knowledge representation, showing its positive impact on solving KRR problems.
引用
收藏
页码:9 / 33
页数:25
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