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 "joint empirical coordination of source and channel"):
  Abstract: In a decentralized and self-configuring network, the communication devices are considered as autonomous decision-makers that sense their environment and that implement optimal transmission schemes. It is essential that these autonomous devices cooperate and coordinate their actions, to ensure the reliability of the transmissions and the stability of the network. We study a point-to-point scenario in which the encoder and the decoder implement decentralized policies that are coordinated. The coordination is measured in terms of empirical frequency of symbols of source and channel. The encoder and the decoder perform a coding scheme such that the empirical distribution of the symbols is close to a target joint probability distribution. We characterize the set of achievable target probability distributions for a point-to-point source-channel model, in which the encoder is non-causal and the decoder is strictly causal i.e., it returns an action based on the observation of the past channel outputs. The objectives of the encoder and of the decoder, are captured by some utility function, evaluated with respect to the set of achievable target probability distributions. In this article, we investigate the maximization problem of a utility function that is common to both encoder and decoder. We show that the compression and the transmission of information are particular cases of the empirical coordination.

Includes members:
  Member "strong coordination of signals and actions over noisy channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "empirical coordination subject to a fidelity criterion")
  Member "information design for strategic coordination of autonomous devices with non aligned utilities":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "strategic communication with side information at the decoder")
  Member "polar coding for empirical coordination of signals and actions over noisy channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coordination through shared randomness")
  Member "coordination in distributed networks via coded actions with application to power control":
    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 "secure cascade channel synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "coordination through shared randomness")
  Member "strong coordination over multi hop line networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimal communication rates and combinatorial properties for distributed simulation")
  Member "zero error coordination":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "distributed source simulation with no communication")
  Member "empirical coordination with two sided state information and correlated source and state":
    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)