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: "on equilibria in quantitative games with reachability safety objectives"
  Abstract: In this paper, we study turn-based quantitative multiplayer non zero-sum games played on finite graphs with both reachability and safety objectives. In this framework a player with a reachability objective aims at reaching his own goal as soon as possible, whereas a player with a safety objective aims at avoiding his bad set or, if impossible, delaying its visit as long as possible. We prove the existence of Nash equilibria with finite memory in quantitative multiplayer reachability/safety games. Moreover, we prove the existence of finite-memory secure equilibria for quantitative two-player reachability games.

Connected through hyperedge HE-1 (induced by source paper "reasoning about quality and fuzziness of strategic behaviours"):
  with members:
    - "strategy logic with imperfect information"
    - "admissibility in quantitative graph games"
    - "high quality synthesis against stochastic environments"
    - "assume admissible synthesis"
    - "discounting in ltl"
    - "quantified ctl expressiveness and complexity"
    - "how to be both rich and happy combining quantitative and qualitative strategic reasoning about multi player games extended abstract"
    - "reasoning about strategies on the model checking problem"

Connected through hyperedge HE-2 (induced by source paper "games with delays a frankenstein approach"):
  with members:
    - "two player perfect information shift invariant submixing stochastic games are half positional"
    - "doomsday equilibria for omega regular games"
    - "robust equilibria in concurrent games"
    - "the complexity of nash equilibria in limit average games"

Connected through hyperedge HE-3 (induced by source paper "on subgame perfect secure equilibrium in quantitative reachability games"):
  with members:
    - "assume guarantee synthesis for digital contract signing"
    - "better quality in synthesis through quantitative objectives"

Connected through hyperedge HE-4 (induced by source paper "multiplayer cost games with simple nash equilibria"):
  with members:
    - "optimal strategy synthesis for request response games"
    - "better quality in synthesis through quantitative objectives"

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)