human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "index sets for finite normal predicate logic programs"):
  Abstract: _e is the effective list of all finite predicate logic programs.   is the list of recursive trees. We modify constructions of Marek, Nerode, and Remmel [25] to construct recursive functions f and g such that for all indices e, (i) there is a one-to-one degree preserving correspondence between the set of stable models of Q_e and the set of infinite paths through T_{f(e)} and (ii) there is a one-to-one degree preserving correspondence between the set of infinite paths through T_e and the set of stable models of Q_{g(e)}. We use these two recursive functions to reduce the problem of finding the complexity of the index set I_P for various properties P of normal finite predicate logic programs to the problem of computing index sets for primitive recursive trees for which there is a large variety of results [6], [8], [16], [17], [18], [19]. We use our correspondences to determine the complexity of the index sets of all programs and of certain special classes of finite predicate logic programs of properties such as (i) having no stable models, (ii) having at least one stable model, (iii) having exactly c stable models for any given positive integer c, (iv) having only finitely many stable models, or (vi) having infinitely many stable models.

Includes members:
  Member "the dlv system for knowledge representation and reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the seventh answer set programming competition design and results")
  Member "uniform semantic treatment of default and autoepistemic logics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "from fuzzy to annotated semantic web languages")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LO(Logic in Computer Science)