THE EXPRESSIVE POWER OF MEMORY LOGICS

被引:13
|
作者
Areces, Carlos [1 ]
Figueira, Diego [2 ]
Figueira, Santiago [3 ,4 ]
Mera, Sergio [3 ]
机构
[1] INRIA Nancy Grand Est, Nancy, France
[2] LSV, ENS Cachan, INRIA Saclay, Cachan, France
[3] Univ Buenos Aires, FCEyN, Dept Computac, Buenos Aires, DF, Argentina
[4] Consejo Nacl Invest Cient & Tecn, RA-1033 Buenos Aires, DF, Argentina
来源
REVIEW OF SYMBOLIC LOGIC | 2011年 / 4卷 / 02期
关键词
MODEL-CHECKING; REAL-TIME; COMPLEXITY;
D O I
10.1017/S1755020310000389
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We investigate the expressive power of memory logics. These are modal logics extended with the possibility to store (or remove) the current node of evaluation in (or from) a memory, and to perform membership tests on the current memory. From this perspective, the hybrid logic HL(down arrow), for example, can be thought of as a particular case of a memory logic where the memory is an indexed list of elements of the domain. This work focuses in the case where the memory is a set, and we can test whether the current node belongs to the set or not. We prove that, in terms of expressive power, the memory logics we discuss here lie between the basic modal logic K and HL(down arrow). We show that the satisfiability problem of most of the logics we cover is undecidable. The only logic with a decidable satisfiability problem is obtained by imposing strong constraints on which elements can be memorized.
引用
收藏
页码:290 / 318
页数:29
相关论文
共 50 条
  • [41] RELATIVE EXPRESSIVE POWER OF SOME LOGICS EXTENDING 1ST-ORDER LOGIC
    COWLES, J
    JOURNAL OF SYMBOLIC LOGIC, 1979, 44 (02) : 129 - 146
  • [42] ON THE EXPRESSIVE POWER OF THE LOGICS L(Q-ALPHA(N1=NM))
    RAPP, A
    ZEITSCHRIFT FUR MATHEMATISCHE LOGIK UND GRUNDLAGEN DER MATHEMATIK, 1984, 30 (01): : 11 - 20
  • [43] Comparing the expressive power of some fuzzy logics based on residuated t-norms
    Aguzzoli, Stefano
    Gerla, Brunella
    2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2006, : 2012 - +
  • [44] Tableaux Algorithms for Expressive Possibilistic Description Logics
    Zhu, Jinfan
    Qi, Guilin
    Suntisrivaraporn, Boontawee
    2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 1, 2013, : 227 - 232
  • [45] Reasoning with very expressive fuzzy description logics
    Stoilos, Giorgos
    Stamou, Giorgos
    Pan, Jeff Z.
    Tzouvaras, Vassilis
    Horrocks, Ian
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2007, 30 : 273 - 320
  • [46] Answering conjunctive queries in expressive description logics
    De, La Fuente, Maria Magdalena
    OGAI Journal (Oesterreichische Gesellschaft fuer Artificial Intelligence), 2007, 26 (02): : 4 - 9
  • [47] Deciding expressive description logics in the framework of resolution
    Hustadt, Urich
    Motik, Boris
    Sattler, Ulrike
    INFORMATION AND COMPUTATION, 2008, 206 (05) : 579 - 601
  • [48] Reasoning on expressive description logics with arithmetic constraints
    Barcenas, Everardo
    Molero, Guillermo
    Sanchez, Gabriela
    Benitez-Guerrero, Edgard
    Mezura-Godoy, Carmen
    2016 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (CONIELECOMP), 2016, : 180 - 185
  • [49] Expressive fuzzy description logics over lattices
    Jiang, Yuncheng
    Tang, Yong
    Wang, Ju
    Deng, Peimin
    Tang, Suqin
    KNOWLEDGE-BASED SYSTEMS, 2010, 23 (02) : 150 - 161
  • [50] Optimizing terminological reasoning for expressive description logics
    Tsarkov, Dmitry
    Horrocks, Ian
    Patel-Schneider, Peter F.
    JOURNAL OF AUTOMATED REASONING, 2007, 39 (03) : 277 - 316