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: "importance in systems with interval decisions"
  Abstract: Given a system where the real-valued states of the agents are aggregated by a function to a real-valued state of the entire system, we are interested in the influence or importance of the different agents for that function. This generalizes the notion of power indices for binary voting systems to decisions over interval policy spaces and has applications in economics, engineering, security analysis, and other disciplines. Here, we study the question of importance in systems with interval decisions. Based on the classical Shapley-Shubik and Penrose-Banzhaf index, from binary voting, we motivate and analyze two importance measures. Additionally, we present some results for parametric classes of aggregation functions.

Connected through hyperedge HE-1 (induced by source paper "axiomatizations for the shapley shubik power index for games with several levels of approval in the input and output"):
  with members:
    - "an axiomatization of the shapley shubik index for interval decisions"
    - "the roll call interpretation of the shapley value"
    - "measuring voting power in convex policy spaces"

Connected through hyperedge HE-2 (induced by source paper "an axiomatization of the shapley shubik index for interval decisions"):
  with members:
    - "the roll call interpretation of the shapley value"
    - "measuring voting power in convex policy spaces"

Connected through hyperedge HE-3 (induced by source paper "which criteria qualify power indices for applications a comment to the story of the poor public good index"):
  with members:
    - "representation compatible power indices"
    - "the power of the largest player"
    - "the cost of getting local monotonicity"
    - "mostly sunny a forecast of tomorrow s power index research"
    - "the average representation a cornucopia of power indices"
    - "the inverse problem for power distributions in committees"
    - "measuring voting power in convex policy spaces"

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)