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: "translucent players explaining cooperative behavior in social dilemmas"
  Abstract: In the last few decades, numerous experiments have shown that humans do not always behave so as to maximize their material payoff. Cooperative behavior when non-cooperation is a dominant strategy (with respect to the material payoffs) is particularly puzzling. Here we propose a novel approach to explain cooperation, assuming what Halpern and Pass (2013) call "translucent players". Typically, players are assumed to be "opaque", in the sense that a deviation by one player does not affect the strategies used by other players. But a player may believe that if he switches from one strategy to another, the fact that he chooses to switch may be visible to the other players. For example, if he chooses to defect in Prisoner's Dilemma, the other player may sense his guilt. We show that by assuming translucent players, we can recover many of the regularities observed in human behavior in well-studied games such as Prisoner's Dilemma, Traveler's Dilemma, Bertrand Competition, and the Public Goods game.

Connected through hyperedge HE-1 (induced by source paper "perfect prediction in minkowski spacetime perfectly transparent equilibrium for dynamic games with imperfect information"):
  with members:
    - "perfect prediction in normal form superrational thinking extended to non symmetric games"
    - "game theory with translucent players"

Connected through hyperedge HE-2 (induced by source paper "perfect prediction in normal form superrational thinking extended to non symmetric games"):
  with members:
    - "performative prediction"
    - "perfect prediction in minkowski spacetime perfectly transparent equilibrium for dynamic games with imperfect information"
    - "superrational types"
    - "cooperative equilibrium a solution predicting cooperative play"
    - "perfect prediction equilibrium"
    - "game theory with translucent players"

Connected through hyperedge HE-3 (induced by source paper "games with tolerant players"):
  with members:
    - "heuristics guide the implementation of social preferences in one shot prisoner s dilemma experiments"
    - "game theory with translucent players"

Connected through hyperedge HE-4 (induced by source paper "cooperative equilibrium a solution predicting cooperative play"):
  with members:
    - "game theory with translucent players"

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)