human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "time aware uniformization of winning strategies"):
  Abstract: Two-player win/lose games of infinite duration are involved in several disciplines including computer science and logic. If such a game has deterministic winning strategies, one may ask how simple such strategies can get. The answer may help with actual implementation, or to win despite imperfect information, or to conceal sensitive information especially if the game is repeated. #R##N#Given a game, this article considers equivalence relations over histories of played actions. A classical restriction used here is that equivalent histories have equal length, hence \emph{time awareness}. A sufficient condition is given such that if a player has winning strategies, she has one that prescribes the same action at equivalent histories, hence \emph{uniformization}. The proof is fairly constructive and preserves finiteness of strategy memory, and counterexamples show tightness of the result. Three corollaries follow for games with states and colors. They hold regardless of the winning condition.

Includes members:
  Member "reachability games in dynamic epistemic logic":
    also connected through other hyperedges:
      (none)
  Member "concurrent games and semi random determinacy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "games where you can play optimally with finite memory")
  Member "observation and distinction representing information in infinite games":
    also connected through other hyperedges:
      (none)
  Member "strategy logic with imperfect information":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reconfigurable interaction for mas modelling")

Question: Please tell me which class the source paper 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)