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: "dynamic games with asymmetric information common information based perfect bayesian equilibria and sequential decomposition"
  Abstract: We formulate and analyze a general class of stochastic dynamic games with asymmetric information arising in dynamic systems. In such games, multiple strategic agents control the system dynamics and have different information about the system over time. Because of the presence of asymmetric information, each agent needs to form beliefs about other agents' private information. Therefore, the specification of the agents' beliefs along with their strategies is necessary to study the dynamic game. We use Perfect Bayesian equilibrium (PBE) as our solution concept. A PBE consists of a pair of strategy profile and belief system. In a PBE, every agent's strategy should be a best response under the belief system, and the belief system depends on agents' strategy profile when there is signaling among agents. Therefore, the circular dependence between strategy profile and belief system makes it difficult to compute PBE. Using the common information among agents, we introduce a subclass of PBE called common information based perfect Bayesian equilibria (CIB-PBE), and provide a sequential decomposition of the dynamic game. Such decomposition leads to a backward induction algorithm to compute CIB-PBE. We illustrate the sequential decomposition with an example of a multiple access broadcast game. We prove the existence of CIB-PBE for a subclass of dynamic games.

Connected through hyperedge HE-1 (induced by source paper "signaling equilibria in mean field games"):
  with members:
    - "decentralized bayesian learning in dynamic games"
    - "decentralized stochastic control with partial history sharing a common information approach"
    - "equilibria of dynamic games with many players existence approximation and market structure"

Connected through hyperedge HE-2 (induced by source paper "markov perfect equilibria in non stationary mean field games"):
  with members:
    - "decentralized bayesian learning in dynamic games"
    - "decentralized stochastic control with partial history sharing a common information approach"
    - "equilibria of dynamic games with many players existence approximation and market structure"

Connected through hyperedge HE-3 (induced by source paper "sequential decomposition of dynamic games with asymmetric information and dependent states"):
  with members:
    - "safe and nested subgame solving for imperfect information games"
    - "decentralized bayesian learning in dynamic games"
    - "decentralized stochastic control with partial history sharing a common information approach"
    - "optimal decentralized control of coupled subsystems with control sharing"

Connected through hyperedge HE-4 (induced by source paper "security strategies of both players in asymmetric information zero sum stochastic games with an informed controller"):
  with members:
    - "solving two player zero sum repeated bayesian games"
    - "efficient strategy computation in zero sum asymmetric repeated games"

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)