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: "approximating a behavioural pseudometric without discount for probabilistic systems"
  Abstract: Desharnais, Gupta, Jagadeesan and Panangaden introduced a family of#N#behavioural pseudometrics for probabilistic transition systems. These#N#pseudometrics are a quantitative analogue of probabilistic bisimilarity.#N#Distance zero captures probabilistic bisimilarity. Each pseudometric has a#N#discount factor, a real number in the interval (0, 1]. The smaller the discount#N#factor, the more the future is discounted. If the discount factor is one, then#N#the future is not discounted at all. Desharnais et al. showed that the#N#behavioural distances can be calculated up to any desired degree of accuracy if#N#the discount factor is smaller than one. In this paper, we show that the#N#distances can also be approximated if the future is not discounted. A key#N#ingredient of our algorithm is Tarski's decision procedure for the first order#N#theory over real closed fields. By exploiting the Kantorovich-Rubinstein#N#duality theorem we can restrict to the existential fragment for which more#N#efficient decision procedures exist.

Connected through hyperedge HE-1 (induced by source paper "computing probabilistic bisimilarity distances for probabilistic automata"):
  with members:
    - "on the metric based approximate minimization of markov chains"
    - "metric bisimulation games and real valued modal logics for coalgebras"
    - "on the equivalence of game and denotational semantics for the probabilistic mu calculus"

Connected through hyperedge HE-2 (induced by source paper "a van benthem theorem for quantitative probabilistic modal logic"):
  with members:
    - "a modal characterization theorem for a probabilistic fuzzy description logic"
    - "a van benthem theorem for fuzzy modal logic"
    - "a characterization theorem for a modal description logic"
    - "metric bisimulation games and real valued modal logics for coalgebras"
    - "logical characterization of bisimulation metrics"
    - "monadic second order logic and bisimulation invariance for coalgebras"
    - "behavioral metrics via functor lifting"
    - "neighbourhood structures bisimilarity and basic model theory"

Connected through hyperedge HE-3 (induced by source paper "bisimilarity distances for approximate differential privacy"):
  with members:
    - "on computing the total variation distance of hidden markov models"
    - "synthesizing coupling proofs of differential privacy"
    - "relational reasoning via probabilistic coupling"

Connected through hyperedge HE-4 (induced by source paper "polynomial time algorithms for computing distances of fuzzy transition systems"):
  with members:
    - "supervisory control of fuzzy discrete event systems for simulation equivalence"
    - "computation of the greatest simulations and bisimulations between fuzzy automata"
    - "computing distances between probabilistic automata"
    - "bisimulations for fuzzy transition systems"
    - "bisimulations for fuzzy automata"
    - "nondeterministic fuzzy automata"

Connected through hyperedge HE-5 (induced by source paper "coalgebraic behavioral metrics"):
  with members:
    - "towards trace metrics via functor lifting"
    - "behavioral metrics via functor lifting"
    - "generalizing determinization from automata to coalgebras"
    - "computing distances between probabilistic automata"
    - "generic trace semantics via coinduction"

Connected through hyperedge HE-6 (induced by source paper "distribution based bisimulation for labelled markov processes"):
  with members:
    - "probabilistic bisimulation naturally on distributions"
    - "when equivalence and bisimulation join forces in probabilistic automata"
    - "unprovability of the logical characterization of bisimulation"

Connected through hyperedge HE-7 (induced by source paper "a complete quantitative deduction system for the bisimilarity distance on markov chains"):
  with members:
    - "mixed powerdomains for probability and nondeterminism"
    - "sound and complete axiomatizations of coalgebraic language equivalence"

Connected through hyperedge HE-8 (induced by source paper "linear distances between markov chains"):
  with members:
    - "on the total variation distance of labelled markov chains"

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)