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 "complexity of super coherence problems in asp"):
  Abstract: Adapting techniques from database theory in order to optimize Answer Set Programming#R##N#(ASP) systems, and in particular the grounding components of ASP systems, is an important#R##N#topic in ASP. In recent years, the Magic Set method has received some interest in this setting,#R##N#and a variant of it, called Dynamic Magic Set, has been proposed for ASP. However, this#R##N#technique has a caveat, because it is not correct (in the sense of being query-equivalent)#R##N#for all ASP programs. In a recent work, a large fragment of ASP programs, referred to as#R##N#super-coherent programs, has been identified, for which Dynamic Magic Set is correct. The#R##N# fragment contains all programs which possess at least one answer set, no matter which set of#R##N#facts is added to them. Two open question remained: How complex is it to determine whether#R##N#a given program is super-coherent? Does the restriction to super-coherent programs limit#R##N#the problems that can be solved? Especially the first question turned out to be quite difficult#R##N#   to answer precisely. In this paper, we formally prove that deciding whether a propositional#R##N#  P#R##N# P#R##N#program is super-coherent is Π3 -complete in the disjunctive case, while it is Π2 -complete for#R##N# normal programs. The hardness proofs are the difficult part in this endeavor: We proceed#R##N#  by characterizing the reductions by the models and reduct models which the ASP programs#R##N# should have, and then provide instantiations that meet the given specifications. Concerning#R##N#  the second question, we show that all relevant ASP reasoning tasks can be transformed into#R##N# tasks over super-coherent programs, although this transformation is more of theoretical than#R##N#practical interest.

Includes members:
  Member "team building with answer set programming in the gioia tauro seaport":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficiently coupling the i dlv grounder with asp solvers")
  Member "dynamic magic sets for super consistent answer set programs":
    also connected through other hyperedges:
      (none)
  Member "a system of interaction and structure":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "de morgan dual nominal quantifiers modelling private names in non commutative logic")
  Member "the dlv system for knowledge representation and reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the seventh answer set programming competition design and results")
  Member "semantical characterizations and complexity of equivalences in answer set programming":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "query inseparability for alc ontologies")
  Member "unfolding partiality and disjunctions in stable model semantics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "towards generating explanations for asp based link analysis using declarative program transformations")

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)