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: "applications of metric coinduction"
  Abstract: Metric coinduction is a form of coinduction that can be used to establish#N#properties of objects constructed as a limit of finite approximations. One can#N#prove a coinduction step showing that some property is preserved by one step of#N#the approximation process, then automatically infer by the coinduction#N#principle that the property holds of the limit object. This can often be used#N#to avoid complicated analytic arguments involving limits and convergence,#N#replacing them with simpler algebraic arguments. This paper examines the#N#application of this principle in a variety of areas, including infinite#N#streams, Markov chains, Markov decision processes, and non-well-founded sets.#N#These results point to the usefulness of coinduction as a general proof#N#technique.

Connected through hyperedge HE-1 (induced by source paper "coalgebraic analysis of subgame perfect equilibria in infinite games without discounting"):
  with members:
    - "rationality and escalation in infinite extensive games"
    - "conway games algebraically and coalgebraically"

Connected through hyperedge HE-2 (induced by source paper "coinductive proof principles for stochastic processes"):
  with members:
    - "approximate reasoning for real time probabilistic processes"

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.LO(Logic in Computer Science)