Contextual hypotheses and semantics of logic programs

被引:0
|
作者
Martin, Eric A. [1 ]
机构
[1] Univ New S Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia
关键词
Kripke-Kleene semantics; answer-set semantics; stable model semantics; well-founded semantics; classical negation; contextual hypotheses; hypothetical reasoning; NEGATION;
D O I
10.1017/S1471068411000378
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Logic programming has developed as a rich field, built over a logical substratum whose main constituent is a nonclassical form of negation, sometimes coexisting with classical negation. The field has seen the advent of a number of alternative semantics, with Kripke-Kleene semantics, the well-founded semantics, the stable model semantics, and the answer-set semantics standing out as the most successful. We show that all aforementioned semantics are particular cases of a generic semantics, in a framework where classical negation is the unique form of negation and where the literals in the bodies of the rules can be 'marked' to indicate that they can be the targets of hypotheses. A particular semantics then amounts to choosing a particular marking scheme and choosing a particular set of hypotheses. When a literal belongs to the chosen set of hypotheses, all marked occurrences of that literal in the body of a rule are assumed to be true, whereas the occurrences of that literal that have not been marked in the body of the rule are to be derived in order to contribute to the firing of the rule. Hence the notion of hypothetical reasoning that is presented in this framework is not based on making global assumptions, but more subtly on making local, contextual assumptions, taking effect as indicated by the chosen marking scheme on the basis of the chosen set of hypotheses. Our approach offers a unified view on the various semantics proposed in logic programming, classical in that only classical negation is used, and links the semantics of logic programs to mechanisms that endow rule-based systems with the power to harness hypothetical reasoning.
引用
收藏
页码:843 / 887
页数:45
相关论文
共 50 条
  • [1] ON THE SEMANTICS OF LOGIC PROGRAMS
    GABBRIELLI, M
    LEVI, G
    [J]. LECTURE NOTES IN COMPUTER SCIENCE, 1991, 510 : 1 - 19
  • [2] The semantics of constraint logic programs
    Jaffar, J
    Maher, M
    Marriott, K
    Stuckey, P
    [J]. JOURNAL OF LOGIC PROGRAMMING, 1998, 37 (1-3): : 1 - 46
  • [3] A COMPOSITIONAL SEMANTICS FOR LOGIC PROGRAMS
    BOSSI, A
    GABBRIELLI, M
    LEVI, G
    MEO, MC
    [J]. THEORETICAL COMPUTER SCIENCE, 1994, 122 (1-2) : 3 - 47
  • [4] THE STRONG SEMANTICS FOR LOGIC PROGRAMS
    CHEN, JH
    KUNDU, S
    [J]. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1991, 542 : 490 - 499
  • [5] TIGHT SEMANTICS FOR LOGIC PROGRAMS
    Pereira, Luis Moniz
    Pinto, Alexandre Miguel
    [J]. TECHNICAL COMMUNICATIONS OF THE 26TH INTERNATIONAL CONFERENCE ON LOGIC PROGRAMMING (ICLP'10), 2010, 7 : 134 - 143
  • [6] The semantics of nominal logic programs
    Cheney, James
    [J]. LOGIC PROGRAMMING, PROCEEDINGS, 2006, 4079 : 361 - 375
  • [7] On the semantics of logic programs with preferences
    Greco, Sergio
    Trubitsyna, Irina
    Zumpano, Ester
    [J]. LOGICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4160 : 203 - 215
  • [8] Isoinitial semantics for logic programs
    Lau, KK
    Ornaghi, M
    [J]. COMPUTATIONAL LOGIC - CL 2000, 2000, 1861 : 223 - 238
  • [9] PROBABILISTIC LOGIC PROGRAMS AND THEIR SEMANTICS
    DANTSIN, E
    [J]. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1992, 592 : 152 - 164
  • [10] A PROCESS SEMANTICS OF LOGIC PROGRAMS
    BELMESK, M
    [J]. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1992, 592 : 13 - 26