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: "quantified ctl with imperfect information"
  Abstract: Quantified CTL (QCTL) is a well-studied temporal logic that extends CTL with quantification over atomic propositions. It has recently come to the fore as a powerful intermediary framework to study logics for strategic reasoning. We extend it to include imperfect information by parameterising quantifiers with an observation that defines how well they observe the model, thus constraining their behaviour. We consider two different semantics, one related to the notion of no memory, the other to perfect recall. We study the expressiveness of our logic, and show that it coincides with MSO for the first semantics and with MSO with equal level for the second one. We establish that the model-checking problem is Pspace-complete for the first semantics. While it is undecidable for the second one, we identify a syntactic fragment, defined by a notion of hierarchical formula, which we prove to be decidable thanks to an automata-theoretic approach.

Connected through hyperedge HE-1 (induced by source paper "decidability results for atl with imperfect information and perfect recall"):
  with members:
    - "hierarchical information patterns and distributed strategy synthesis"
    - "atlsc with partial observation"
    - "quantified ctl expressiveness and complexity"
    - "model checking atl under imperfect information and perfect recall semantics is undecidable"
    - "reasoning about strategies on the model checking problem"
    - "model checking an alternating time temporal logic with knowledge imperfect information perfect recall and communicating coalitions"

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)