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: "applying causality principles to the axiomatization of probabilistic cellular automata"
  Abstract: Cellular automata (CA) consist of an array of identical cells, each of which may take one of a finite number of possible states. The entire array evolves in discrete time steps by iterating a global evolution G. Further, this global evolution G is required to be shift-invariant (it acts the same everywhere) and causal (information cannot be transmitted faster than some fixed number of cells per time step). At least in the classical, reversible and quantum cases, these two top-down axiomatic conditions are sufficient to entail more bottom-up, operational descriptions of G. We investigate whether the same is true in the probabilistic case. Keywords: Characterization, noise, Markov process, stochastic Einstein locality, screening-off, common cause principle, non-signalling, Multi-party non-local box.

Connected through hyperedge HE-1 (induced by source paper "stochastic cellular automata correlations decidability and simulations"):
  with members:
    - "bulking ii classifications of cellular automata"
    - "on decidability properties of one dimensional cellular automata"
    - "progresses in the analysis of stochastic 2d cellular automata a study of asynchronous 2d minority"

Connected through hyperedge HE-2 (induced by source paper "intrinsic simulations between stochastic cellular automata"):
  with members:
    - "bulking ii classifications of cellular automata"
    - "progresses in the analysis of stochastic 2d cellular automata a study of asynchronous 2d minority"

Connected through hyperedge HE-3 (induced by source paper "causal graph dynamics"):
  with members:
    - "a simple block representation of reversible cellular automata with time symmetry"
    - "on the completeness of quantum computation models"

Connected through hyperedge HE-4 (induced by source paper "generalized cayley graphs and cellular automata over them"):
  with members:
    - "intrinsic universality of causal graph dynamics"
    - "causal graph dynamics"

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.DM(Discrete Mathematics)