Multi-valued logic in graph transformation theory and self-adaptive systems

被引:0
|
作者
Dmitry Maximov
Sergey Ryvkin
机构
[1] Trapeznikov Institute of Control Science Russian Academy of Sciences,
关键词
Multi-valued logic; Decision making; Graph transformation; Self-adaptive systems; 03B70; 68T27; 68R10; 68T05; 68U35;
D O I
暂无
中图分类号
学科分类号
摘要
Graph transformation theory uses rules to perform a graph transformation. However, there is no a way to choose between such different transformations in the case where several of them are applicable. A way to get the choice is suggested here based on the comparing of the values of implications which correspond to different transformation variants. The relationship between the topos of bundles, and the set of graphs with the same vertices, is introduced to include logic into graph transformation theory. Thus, one can use the special type of implication and the truth-values set of such a topos to estimate different variants of graph transformations. In this approach, the maximal part of the initial graph towards the terminal one is conserved in the chosen variant. Analysis of self-adaptive systems uses some graph grammars. Self-adaptive systems autonomously perform an adaptation to changes both in user needs and in their operational environments, while still maintaining some desired properties. The suggested way to choose such graph transformation variants may be used to make a choice between different graph grammars in such systems modeling. This approach is illustrated in a model of some business processes, that result in the automated choice of the business process adaptation under the assumption that the process changes are minimal towards the terminal state.
引用
收藏
页码:395 / 408
页数:13
相关论文
共 50 条
  • [31] An Synthesized methods for Multi-Valued Logic Function
    Qiu Jianlin
    Li Fen
    Ji Dan
    Chen Jianping
    He Peng
    PROGRESS IN MEASUREMENT AND TESTING, PTS 1 AND 2, 2010, 108-111 : 250 - 255
  • [32] Multi-valued graph contraction principle with applications
    Petrusel, Adrian
    Petrusel, Gabriela
    Yao, Jen-Chih
    OPTIMIZATION, 2020, 69 (7-8) : 1541 - 1556
  • [33] MODEL OF FUZZY REASONING THROUGH MULTI-VALUED LOGIC AND SET-THEORY
    BALDWIN, JF
    PILSWORTH, BW
    INTERNATIONAL JOURNAL OF MAN-MACHINE STUDIES, 1979, 11 (03): : 351 - 380
  • [34] Runtime Evolution of the Adaptation Logic in Self-Adaptive Systems
    Roth, Felix Maximilian
    Krupitzer, Christian
    Becker, Christian
    2015 IEEE INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING, 2015, : 141 - 142
  • [35] SYMPOSIUM - THEORY OF SELF-ADAPTIVE CONTROL SYSTEMS
    MEEROV, MV
    AUTOMATION AND REMOTE CONTROL, 1966, 27 (02) : 336 - &
  • [36] Analysis of systems under probabilistic and fuzzy uncertainty using multi-valued logic
    Gegov, A
    Parashkevova, D
    Ljubenov, K
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2004, 33 (2-3) : 153 - 162
  • [37] Complexity Reduction of Mamdani Fuzzy Systems through Multi-valued Logic Minimization
    Cococcioni, Marco
    Foschini, Luca
    Lazzerini, Beatrice
    Marcelloni, Francesco
    2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, 2008, : 1781 - +
  • [38] Self-Adaptive Clustering of Dynamic Multi-Graph Learning
    Bo Zhou
    Yangding Li
    Xincheng Huang
    Jiaye Li
    Neural Processing Letters, 2022, 54 : 2533 - 2548
  • [39] Self-Adaptive Clustering of Dynamic Multi-Graph Learning
    Zhou, Bo
    Li, Yangding
    Huang, Xincheng
    Li, Jiaye
    NEURAL PROCESSING LETTERS, 2022, 54 (04) : 2533 - 2548
  • [40] A New Logic Optimization Algorithm of Multi-valued Logic Function Based on Two-valued Logic
    Qiu, Jianlin
    Li, Fen
    Gu, Xiang
    Chen, Li
    Chen, Yanyun
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 4330 - +