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: "information design for strategic coordination of autonomous devices with non aligned utilities"
  Abstract: In this paper, we investigate the coordination of autonomous devices with non-aligned utility functions. Both encoder and decoder are considered as players, that choose the encoding and the decoding in order to maximize their long-run utility functions. The topology of the point-to-point network under investigation, suggests that the decoder implements a strategy, knowing in advance the strategy of the encoder. We characterize the encoding and decoding functions that form an equilibrium, by using empirical coordination. The equilibrium solution is related to an auxiliary game in which both players choose some conditional distributions in order to maximize their expected utilities. This problem is closely related to the literature on "Information Design" in Game Theory. We also characterize the set of posterior distributions that are compatible with a rate-limited channel between the encoder and the decoder. Finally, we provide an example of non-aligned utility functions corresponding to parallel fading multiple access channels.

Connected through hyperedge HE-1 (induced by source paper "strategic communication with side information at the decoder"):
  with members:
    - "strong coordination of signals and actions over noisy channels with two sided state information"
    - "persuasion with limited communication capacity"
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "on the role of side information in strategic communication"
    - "persuasion with limited communication"
    - "algorithmic bayesian persuasion"
    - "empirical coordination with two sided state information and correlated source and state"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"

Connected through hyperedge HE-2 (induced by source paper "empirical coordination subject to a fidelity criterion"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "empirical coordination in a triangular multiterminal network"

Connected through hyperedge HE-3 (induced by source paper "empirical coordination with multiple descriptions"):
  with members:
    - "empirical coordination subject to a fidelity criterion"
    - "sequential empirical coordination under an output entropy constraint"
    - "combinatorial message sharing and a new achievable region for multiple descriptions"
    - "empirical coordination in a triangular multiterminal network"

Connected through hyperedge HE-4 (induced by source paper "strong coordination of signals and actions over noisy channels with two sided state information"):
  with members:
    - "persuasion with limited communication capacity"
    - "strong coordination of signals and actions over noisy channels"
    - "joint coordination channel coding for strong coordination over noisy channels based on polar codes"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "secure cascade channel synthesis"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "correlation between channel state and information source with empirical coordination constraint"

Connected through hyperedge HE-5 (induced by source paper "information theoretic limits of strategic communication"):
  with members:
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "persuasion with limited communication"
    - "algorithmic bayesian persuasion"
    - "constrained source coding with side information"
    - "estimation with strategic sensors"
    - "nash codes for noisy channels"
    - "perfect output feedback in the two user decentralized interference channel"
    - "rate distortion theory for secrecy systems"

Connected through hyperedge HE-6 (induced by source paper "persuasion with limited communication capacity"):
  with members:
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "joint empirical coordination of source and channel"
    - "nash codes for noisy channels"
    - "coordination using implicit communication"

Connected through hyperedge HE-7 (induced by source paper "joint empirical coordination of source and channel"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "strong coordination over multi hop line networks"
    - "zero error coordination"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"

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.IT(Information Theory)