Expressiveness vs. complexity in nonmonotonic knowledge bases: propositional case

被引:0
|
作者
Rosati, R [1 ]
机构
[1] Univ Roma La Sapienza, Dipartimento Informat & Sistemist, I-00198 Rome, Italy
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We study the trade-off between the expressive abilities and the complexity of reasoning in propositional nonmonotonic knowledge bases. We first analyze, in an expressive epistemic modal framework, the most popular forms of nonmonotonic mechanisms used in knowledge representation: in particular, we prove that epistemic queries and epistemic integrity constraints are naturally expressed through the notion of negation as failure. Based on the above analysis, we then characterize the complexity of reasoning with different subsets of such nonmonotonic constructs. This characterization induces a complexity based classification of the various forms of nonmonotonic reasoning considered: in particular, we prove that negation as failure is computationally harder than epistemic disjunction, which apparently contradicts previous complexity results obtained in the logic programming setting.
引用
收藏
页码:47 / 48
页数:2
相关论文
共 50 条
  • [41] Mining propositional knowledge bases to discover multi-level rules
    Richards, D
    Malik, U
    MINING MULTIMEDIA AND COMPLEX DATA, 2003, 2797 : 199 - 216
  • [42] QUASI-ACYCLIC PROPOSITIONAL HORN KNOWLEDGE BASES - OPTIMAL COMPRESSION
    HAMMER, PL
    KOGAN, A
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1995, 7 (05) : 751 - 762
  • [43] An algebraic approach to revising propositional rule-based knowledge bases
    ShangMin Luan
    GuoZhong Dai
    Science in China Series F: Information Sciences, 2008, 51 : 240 - 257
  • [44] The Propositional vs. Hermeneutic Models of Cross-Cultural Understanding
    Wang, Xinli
    Xu, Ling
    SOUTH AFRICAN JOURNAL OF PHILOSOPHY, 2009, 28 (03) : 312 - 331
  • [45] Interval vs. Point Temporal Logic Model Checking: An Expressiveness Comparison
    Bozzelli, Laura
    Molinari, Alberto
    Montanari, Angelo
    Peron, Adriano
    Sala, Pietro
    ACM TRANSACTIONS ON COMPUTATIONAL LOGIC, 2019, 20 (01)
  • [46] OCL 1.4/5 vs. 2.0 Expressions Formal semantics and expressiveness
    María Victoria Cengarle
    Alexander Knapp
    Software & Systems Modeling, 2004, 3 (1) : 9 - 30
  • [47] The economics of classification: error vs. complexity
    de Ridder, D
    Pekalska, E
    Duin, RPW
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 244 - 247
  • [48] Complexity vs. Lean, the Big Showdown
    Appelo, Jurgen
    LEAN ENTERPRISE SOFTWARE AND SYSTEMS, 2010, 65 : 53 - 54
  • [49] Entropy Measures vs. Kolmogorov Complexity
    Teixeira, Andreia
    Matos, Armando
    Souto, Andre
    Antunes, Luis
    ENTROPY, 2011, 13 (03) : 595 - 611
  • [50] Dubbing vs. subtitling Complexity matters
    Perego, Elisa
    Del Missier, Fabio
    Straga, Marta
    TARGET-INTERNATIONAL JOURNAL OF TRANSLATION STUDIES, 2018, 30 (01) : 137 - 157