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 "which criteria qualify power indices for applications a comment to the story of the poor public good index"):
  Abstract: We discuss possible criteria that may qualify or disqualify power indices for applications. Instead of providing final answers we merely ask questions that are relevant from our point of view and summarize some material from the literature.

Includes members:
  Member "representation compatible power indices":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "approximating power by weights")
  Member "importance in systems with interval decisions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "axiomatizations for the shapley shubik power index for games with several levels of approval in the input and output")
  Member "the power of the largest player":
    also connected through other hyperedges:
      (none)
  Member "the cost of getting local monotonicity":
    also connected through other hyperedges:
      (none)
  Member "mostly sunny a forecast of tomorrow s power index research":
    also connected through other hyperedges:
      (none)
  Member "the average representation a cornucopia of power indices":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "approximating power by weights")
  Member "the inverse problem for power distributions in committees":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "approximating power by weights")
  Member "measuring voting power in convex policy spaces":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "axiomatizations for the shapley shubik power index for games with several levels of approval in the input and output")

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)