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: "hierarchical information and the synthesis of distributed strategies"
  Abstract: Infinite games with imperfect information are known to be undecidable unless the information flow is severely restricted. One fundamental decidable case occurs when there is a total ordering among players, such that each player has access to all the information that the following ones receive. #R##N#In this paper we consider variations of this hierarchy principle for synchronous games with perfect recall, and identify new decidable classes for which the distributed synthesis problem is solvable with finite-state strategies. In particular, we show that decidability is maintained when the information hierarchy may change along the play, or when transient phases without hierarchical information are allowed. Finally, we interpret our result in terms of distributed system architectures.

Connected through hyperedge HE-1 (induced by source paper "synthesis in presence of dynamic links"):
  with members:
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"

Connected through hyperedge HE-2 (induced by source paper "reachability games in dynamic epistemic logic"):
  with members:
    - "reasoning about knowledge and strategies under hierarchical information"
    - "cooperative epistemic multi agent planning for implicit coordination"
    - "games on graphs with a public signal monitoring"
    - "hanabi is np complete even for cheaters who look at their cards"
    - "hanabi is np hard even for cheaters who look at their cards"
    - "automata techniques for epistemic protocol synthesis"
    - "the computational complexity of probabilistic planning"

Connected through hyperedge HE-3 (induced by source paper "strategy logic with imperfect information"):
  with members:
    - "decidability results for atl with imperfect information and perfect recall"
    - "games on graphs with a public signal monitoring"
    - "the fixed initial credit problem for partial observation energy games is ack complete"
    - "hierarchical information patterns and distributed strategy synthesis"
    - "pure nash equilibria in concurrent deterministic games"
    - "atlsc with partial observation"
    - "games with a weak adversary"
    - "mcmas slk a model checker for the verification of strategy logic specifications"

Connected through hyperedge HE-4 (induced by source paper "games on graphs with a public signal monitoring"):
  with members:
    - "decidability results for atl with imperfect information and perfect recall"
    - "deviator detection under imperfect monitoring"
    - "strategy logic with imperfect information"
    - "infinite games with finite knowledge gaps"
    - "the complexity of nash equilibria in limit average games"
    - "model checking an alternating time temporal logic with knowledge imperfect information perfect recall and communicating coalitions"
    - "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.GT(Computer Science and Game Theory)