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
相关论文
共 40 条
  • [11] A New Method for Knowledge Representation and Reasoning of Semantic Web
    Wang, Jie
    Han, X. -P.
    Zhang, Y. -Y.
    Liu, C-N
    2011 AASRI CONFERENCE ON INFORMATION TECHNOLOGY AND ECONOMIC DEVELOPMENT (AASRI-ITED 2011), VOL 1, 2011, : 34 - 37
  • [12] Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine
    Kamsu-Foguem, Bernard
    Diallo, Gayo
    Foguem, Clovis
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (04) : 1348 - 1365
  • [13] Knowledge representation and reasoning using interconnected uncertain rules for describing workflows in complex systems
    Popescu, Dragos Constantin
    Dumitrache, Ioan
    INFORMATION FUSION, 2023, 93 : 412 - 428
  • [14] A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning
    Delgoshaei, Parastoo
    Heidarinejad, Mohammad
    Austin, Mark A.
    SUSTAINABILITY, 2022, 14 (10)
  • [15] Decision Implication-Based Knowledge Representation and Reasoning Within Incomplete Fuzzy Formal Context
    Zhang, Shaoxia
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2024, 26 (06) : 2058 - 2073
  • [16] Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies
    Jiang, Yuncheng
    Tang, Yong
    Wang, Ju
    Tang, Suqin
    EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (08) : 6052 - 6060
  • [17] Framework of Knowledge Acquisition and Representation Reasoning for Gas Turbine Health Maintenance
    Wang Z.
    Gu Y.
    Han X.
    Sun S.
    Zhu J.
    Huang Y.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 32 (02): : 235 - 241
  • [18] PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives
    Liu, Qian
    Han, Sooji
    Cambria, Erik
    Li, Yang
    Kwok, Kenneth
    COGNITIVE COMPUTATION, 2024, 16 (06) : 3429 - 3456
  • [19] Logic programming and knowledge representation - The A-Prolog perspective
    Gelfond, M
    Leone, N
    ARTIFICIAL INTELLIGENCE, 2002, 138 (1-2) : 3 - 38
  • [20] Entrepreneurial Team Learning, Forgetting and Knowledge Levels in Business Incubators: An Exploration and Exploitation Perspective
    Wu, Wenqing
    Ma, Saixiang
    Wang, Kai
    Tsai, Sang-Bing
    Lin, Wen-Pin
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2019, 22 (01):