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: "power of randomization in automata on infinite strings"
  Abstract: Probabilistic B\"uchi Automata (PBA) are randomized, finite state automata#N#that process input strings of infinite length. Based on the threshold chosen#N#for the acceptance probability, different classes of languages can be defined.#N#In this paper, we present a number of results that clarify the power of such#N#machines and properties of the languages they define. The broad themes we focus#N#on are as follows. We present results on the decidability and precise#N#complexity of the emptiness, universality and language containment problems for#N#such machines, thus answering questions central to the use of these models in#N#formal verification. Next, we characterize the languages recognized by PBAs#N#topologically, demonstrating that though general PBAs can recognize languages#N#that are not regular, topologically the languages are as simple as#N#\omega-regular languages. Finally, we introduce Hierarchical PBAs, which are#N#syntactically restricted forms of PBAs that are tractable and capture exactly#N#the class of \omega-regular languages.

Connected through hyperedge HE-1 (induced by source paper "the complexity of pomdps with long run average objectives"):
  with members:
    - "decidable problems for probabilistic automata on infinite words"
    - "reinforcement learning a survey"

Connected through hyperedge HE-2 (induced by source paper "deciding maxmin reachability in half blind stochastic games"):
  with members:
    - "profinite techniques for probabilistic automata and the optimality of the markov monoid algorithm"
    - "deciding the value 1 problem for probabilistic leaktight automata"
    - "the complexity of partial observation stochastic parity games with finite memory strategies"
    - "regular cost functions part i logic and algebra over words"
    - "decidable problems for probabilistic automata on infinite words"
    - "partial observation stochastic games how to win when belief fails"

Connected through hyperedge HE-3 (induced by source paper "partial observation stochastic games how to win when belief fails"):
  with members:
    - "the complexity of partial observation stochastic parity games with finite memory strategies"
    - "what is decidable about partially observable markov decision processes with omega regular objectives"
    - "forward analysis for wsts part ii complete wsts"
    - "decidable problems for probabilistic automata on infinite words"
    - "reachability games on extended vector addition systems with states"
    - "randomness for free"
    - "qualitative analysis of partially observable markov decision processes"
    - "qualitative concurrent stochastic games with imperfect information"

Connected through hyperedge HE-4 (induced by source paper "decidable problems for probabilistic automata on infinite words"):
  with members:
    - "partial observation stochastic games how to win when belief fails"
    - "qualitative concurrent stochastic games with imperfect information"

Connected through hyperedge HE-5 (induced by source paper "a class of probabilistic automata with a decidable value 1 problem"):
  with members:
    - "algorithms for omega regular games with imperfect information"

Connected through hyperedge HE-6 (induced by source paper "qualitative analysis of partially observable markov decision processes"):
  with members:
    - "randomness for free"
    - "qualitative concurrent stochastic games with imperfect information"
    - "algorithms for omega regular games with imperfect information"

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.FL(Formal Languages and Automata Theory)