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: "symmetry breaking answer set solving"
  Abstract: In the context of Answer Set Programming, this paper investigates symmetry-breaking to eliminate symmetric parts of the search space and, thereby, simplify the solution process. We propose a reduction of disjunctive logic programs to a coloured digraph such that permutational symmetries can be constructed from graph automorphisms. Symmetries are then broken by introducing symmetry-breaking constraints. For this purpose, we formulate a preprocessor that integrates a graph automorphism system. Experiments demonstrate its computational impact.

Connected through hyperedge HE-1 (induced by source paper "induction of subgoal automata for reinforcement learning"):
  with members:
    - "joint inference of reward machines and policies for reinforcement learning"
    - "semantic rl with action grammars data efficient learning of hierarchical task abstractions"
    - "representing formal languages a comparison between finite automata and recurrent neural networks"
    - "extracting automata from recurrent neural networks using queries and counterexamples"
    - "a laplacian framework for option discovery in reinforcement learning"
    - "iterative learning of answer set programs from context dependent examples"
    - "hierarchical reinforcement learning with the maxq value function decomposition"

Connected through hyperedge HE-2 (induced by source paper "on local domain symmetry for model expansion"):
  with members:
    - "predicate logic as a modelling language the idp system"
    - "clingo asp control preliminary report"
    - "symmetry breaking constraints recent results"

Connected through hyperedge HE-3 (induced by source paper "breakid static symmetry breaking for asp system description"):
  with members:
    - "predicate logic as a modelling language the idp system"
    - "symmetry breaking constraints recent results"

Connected through hyperedge HE-4 (induced by source paper "translating np spec into asp"):
  with members:
    - "the dlv system for knowledge representation and reasoning"

Connected through hyperedge HE-5 (induced by source paper "markov chains on orbits of permutation groups"):
  with members:
    - "lower complexity bounds for lifted inference"
    - "practical graph isomorphism ii"
    - "general purpose mcmc inference over relational structures"
    - "a delayed column generation strategy for exact k bounded map inference in markov logic networks"
    - "bisimulation based approximate lifted inference"
    - "improving the accuracy and efficiency of map inference for markov logic"
    - "counting belief propagation"
    - "probabilistic theorem proving"

Connected through hyperedge HE-6 (induced by source paper "symmetry breaking for distributed multi context systems"):
  with members:
    - "breaking generator symmetry"

Connected through hyperedge HE-7 (induced by source paper "symmetry breaking for answer set programming"):
  with members:
    - "practical graph isomorphism ii"
    - "a translational approach to constraint answer set solving"
    - "heuristics in conflict resolution"
    - "breaking generator symmetry"
    - "the dlv system for knowledge representation and reasoning"
    - "tight logic programs"
    - "bounded ltl model checking with stable models"

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)