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 "empirical coordination with two sided state information and correlated source and state"):
  Abstract: The coordination of autonomous agents is a critical issue for decentralized communication networks. Instead of transmitting information, the agents interact in a coordinated manner in order to optimize a general objective function. A target joint probability distribution is achievable if there exists a code such that the sequences of symbols are jointly typical. The empirical coordination is strongly related to the joint source-channel coding with two-sided state information and correlated source and state. This problem is also connected to state communication and is open for non-causal encoder and decoder. We characterize the optimal solutions for perfect channel, for lossless decoding, for independent source and channel, for causal encoding and for causal decoding.

Includes members:
  Member "coordination in distributed networks via coded actions with application to power control":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed power control with partial channel state information performance characterization and design")
  Member "empirical coordination with channel feedback and strictly causal or causal encoding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "coordination through shared randomness")
  Member "joint empirical coordination of source and channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "strategic communication with side information at the decoder")
  Member "coded power control performance analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "distributed power control with partial channel state information performance characterization and design")
  Member "correlation between channel state and information source with empirical coordination constraint":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "coordination through shared randomness")
  Member "causal state communication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "communication over random parameter quantum channels with parameter estimation")
  Member "strong coordination with polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "strong coordination of signals and actions over noisy channels with two sided state information")
  Member "hybrid codes needed for coordination over the point to point channel":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "strategic communication with side information at the decoder")

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.IT(Information Theory)