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: "gist a solver for probabilistic games"
  Abstract: Gist is a tool that (a) solves the qualitative analysis problem of turn-based probabilistic games with {\omega}-regular objectives; and (b) synthesizes reasonable environment assumptions for synthesis of unrealizable specifications. Our tool provides the first and efficient implementations of several reduction-based techniques to solve turn-based probabilistic games, and uses the analysis of turn-based probabilistic games for synthesizing environment assumptions for unrealizable specifications.

Connected through hyperedge HE-1 (induced by source paper "the challenges in specifying and explaining synthesized implementations of reactive systems"):
  with members:
    - "bosy an experimentation framework for bounded synthesis"
    - "synthesizing skeletons for reactive systems"
    - "strategy representation by decision trees in reactive synthesis"
    - "reactive synthesis towards output sensitive algorithms"
    - "the 4th reactive synthesis competition syntcomp 2017 benchmarks participants results"
    - "bounded cycle synthesis"
    - "structural synthesis for gxw specifications"
    - "counterexample explanation by learning small strategies in markov decision processes"

Connected through hyperedge HE-2 (induced by source paper "approximating values of generalized reachability stochastic games"):
  with members:
    - "efficient strategy iteration for mean payoff in markov decision processes"
    - "decidability results for multi objective stochastic games"
    - "perfect information stochastic games with generalized mean payoff objectives"
    - "multigain a controller synthesis tool for mdps with multiple mean payoff objectives"
    - "verification of markov decision processes using learning algorithms"
    - "percentile queries in multi dimensional markov decision processes"
    - "robust multidimensional mean payoff games are undecidable"
    - "trading performance for stability in markov decision processes"

Connected through hyperedge HE-3 (induced by source paper "synthesising strategy improvement and recursive algorithms for solving 2 5 player parity games"):
  with members:
    - "symmetric strategy improvement"
    - "lazy probabilistic model checking without determinisation"
    - "non oblivious strategy improvement"
    - "solving simple stochastic games with few random vertices"
    - "relational parametricity for computational effects"

Connected through hyperedge HE-4 (induced by source paper "benchmarks for parity games extended version"):
  with members:
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "a super polynomial lower bound for the parity game strategy improvement algorithm as we know it"

Connected through hyperedge HE-5 (induced by source paper "benchmarks for parity games"):
  with members:
    - "benchmarks for parity games extended version"
    - "zielonka s recursive algorithm dull weak and solitaire games and tighter bounds"
    - "a complete anytime algorithm for treewidth"
    - "an exponential lower bound for the latest deterministic strategy iteration algorithms"
    - "a super polynomial lower bound for the parity game strategy improvement algorithm as we know it"

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)