Inheritance in rule-based frame systems: Semantics and inference

被引:0
|
作者
Yang, Guizhen [1 ]
Kifer, Michael
机构
[1] SRI Int, Ctr Artificial Intelligence, Menlo Pk, CA 94025 USA
[2] SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY 11794 USA
来源
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Knowledge representation languages that combine rules with object-oriented features akin to frame systems have recently attracted a lot of research interest, and F-logic is widely seen as a basis to achieve this integration. In this paper we extend the original F-logic formalism with an array of salient features that are essential for representing and reasoning with commonsense knowledge. In particular, we extend the syntax and semantics of F-logic to incorporate nonmonotonic multiple inheritance of class and instance methods in the presentence of class hierarchies defined via rules. The new semantics is completely model-theoretic and is free of the defects that caused the original F-logic to produce unintuitive results due to the unusual interaction between default inheritance and inference via rules. Moreover, we provide a computational framework for the new F-logic semantics which can be implemented by inference engines using either forward or backward chaining mechanisms.
引用
收藏
页码:79 / 135
页数:57
相关论文
共 50 条
  • [1] FORMAL SEMANTICS FOR RULE-BASED SYSTEMS
    MURRELL, S
    PLANT, R
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 1995, 29 (03) : 251 - 259
  • [2] Moment Semantics for Reversible Rule-Based Systems
    Danos, Vincent
    Heindel, Tobias
    Honorato-Zimmer, Ricardo
    Stucki, Sandro
    [J]. REVERSIBLE COMPUTATION, RC 2015, 2015, 9138 : 3 - 26
  • [3] ON THE SEMANTICS OF RULE-BASED EXPERT SYSTEMS WITH UNCERTAINTY
    KIFER, M
    LI, A
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1988, 326 : 102 - 117
  • [4] INTEGRATION OF FUNCTIONS IN THE FIXPOINT SEMANTICS OF RULE-BASED SYSTEMS
    LAMBRICHTS, E
    NEES, P
    PAREDAENS, J
    PEELMAN, P
    TANCA, L
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1989, 364 : 301 - 316
  • [5] The evidential reasoning approach for inference in rule-based systems
    Yang, JB
    Liu, J
    Wang, J
    Sii, HS
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 2461 - 2468
  • [6] How to increase effectiveness of inference in rule-based systems
    Maciol, Andrzej
    Jedrusik, Stanislaw
    Palinski, Andrzej
    [J]. 2019 SECOND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR INDUSTRIES (AI4I 2019), 2019, : 107 - 110
  • [7] Type inference for hierarchical multiset structures in rule-based systems
    Aman, Bogdan
    Ciobanu, Gabriel
    [J]. INFORMATION SCIENCES, 2021, 580 : 673 - 683
  • [8] Cautious Rule-Based Collective Inference
    Svatos, Martin
    [J]. PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 6466 - 6467
  • [9] PATTERNS OF FUZZY RULE-BASED INFERENCE
    CROSS, V
    SUDKAMP, T
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1994, 11 (03) : 235 - 255
  • [10] Integrated Rule-Based Learning and Inference
    Hatzilygeroudis, Ioannis
    Prentzas, Jim
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2010, 22 (11) : 1549 - 1562