human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "on the computation of paracoherent answer sets"
  Abstract: Answer Set Programming (ASP) is a well-established formalism for nonmonotonic reasoning. An ASP program can have no answer set due to cyclic default negation. In this case, it is not possible to draw any conclusion, even if this is not intended. Recently, several paracoherent semantics have been proposed that address this issue, and several potential applications for these semantics have been identified. However, paracoherent semantics have essentially been inapplicable in practice, due to the lack of efficient algorithms and implementations. In this paper, this lack is addressed, and several different algorithms to compute semi-stable and semi-equilibrium models are proposed and implemented into an answer set solving framework. An empirical performance comparison among the new algorithms on benchmarks from ASP competitions is given as well.

Connected through hyperedge HE-1 (induced by source paper "the seventh answer set programming competition design and results"):
  with members:
    - "efficiently coupling the i dlv grounder with asp solvers"
    - "optimizing answer set computation via heuristic based decomposition"
    - "casp solutions for planning in hybrid domains"
    - "stable unstable semantics beyond np with normal logic programs"
    - "asperix a first order forward chaining approach for answer set computing"
    - "optimizing phylogenetic supertrees using answer set programming"
    - "predicate logic as a modeling language modeling and solving some machine learning and data mining problems with idp3"
    - "dynamic consistency checking in goal directed answer set programming"

Connected through hyperedge HE-2 (induced by source paper "better paracoherent answer sets with less resources"):
  with members:
    - "multi shot asp solving with clingo"
    - "query answering in resource based answer set semantics"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "improved answer set programming encodings for abstract argumentation"
    - "on the tractability of minimal model computation for some cnf theories"
    - "the dlv system for knowledge representation and reasoning"
    - "flux a logic programming method for reasoning agents"

Connected through hyperedge HE-3 (induced by source paper "paracoherent answer set semantics meets argumentation frameworks"):
  with members:
    - "better paracoherent answer sets with less resources"
    - "verifiability of argumentation semantics"
    - "on elementary loops of logic programs"
    - "normal forms for answer sets programming"

Connected through hyperedge HE-4 (induced by source paper "cautious reasoning in asp via minimal models and unsatisfiable cores"):
  with members:
    - "model enumeration in propositional circumscription via unsatisfiable core analysis"
    - "combining answer set programming and domain heuristics for solving hard industrial problems application paper"
    - "anytime answer set optimization via unsatisfiable core shrinking"
    - "anytime computation of cautious consequences in answer set programming"
    - "the third open answer set programming competition"
    - "consistent query answering via asp from different perspectives theory and practice"
    - "disjunctive asp with functions decidable queries and effective computation"
    - "the dlv system for knowledge representation and reasoning"

Question: Please tell me which class the center node 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)