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: "analysis of probabilistic basic parallel processes"
  Abstract: Basic Parallel Processes (BPPs) are a well-known subclass of Petri Nets. They are the simplest common model of concurrent programs that allows unbounded spawning of processes. In the probabilistic version of BPPs, every process generates other processes according to a probability distribution. We study the decidability and complexity of fundamental qualitative problems over probabilistic BPPs -- in particular reachability with probability 1 of different classes of target sets (e.g. upward-closed sets). Our results concern both the Markov-chain model, where processes are scheduled randomly, and the MDP model, where processes are picked by a scheduler.

Connected through hyperedge HE-1 (induced by source paper "reachability for branching concurrent stochastic games"):
  with members:
    - "greatest fixed points of probabilistic min max polynomial equations and reachability for branching markov decision processes"
    - "on the problem of computing the probability of regular sets of trees"
    - "model checking stochastic branching processes"
    - "polynomial time algorithms for branching markov decision processes and probabilistic min max polynomial bellman equations"
    - "qualitative reachability in stochastic bpa games"
    - "the complexity of solving reachability games using value and strategy iteration"
    - "recursive concurrent stochastic games"

Connected through hyperedge HE-2 (induced by source paper "fair termination for parameterized probabilistic concurrent systems technical report"):
  with members:
    - "weakest precondition reasoning for expected run times of probabilistic programs"
    - "proving termination of probabilistic programs using patterns"

Connected through hyperedge HE-3 (induced by source paper "greatest fixed points of probabilistic min max polynomial equations and reachability for branching markov decision processes"):
  with members:
    - "polynomial time algorithms for multi type branching processes and stochastic context free grammars"
    - "model checking stochastic branching processes"
    - "polynomial time algorithms for branching markov decision processes and probabilistic min max polynomial bellman equations"
    - "qualitative reachability in stochastic bpa games"
    - "linear encodings of bounded ltl model checking"
    - "model checking probabilistic pushdown automata"

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)