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: "cross boundary behavioural reprogrammability of cellular automata from emulation networks"
  Abstract: We explore the reprogramming capabilities of computer programs using cellular automata (CA). We show a series of boundary crossing results, including cases of Wolfram Class 1 Elementary Cellular Automata (ECA) emulating Class 2 ECA, Class 2 ECA emulating Class 3 ECA, and Class 3 ECA emulating Class 2 ECA, along with results of a similar type for general CA (neighbourhood $r=3/2$), including Class 1 CA emulating Class 3 CA, Classes 3 and 4 CAs emulating Class 4 CAs, and Class 4 emulating Class 3 CAs. The emulations occur with only a linear overhead and are therefore computationally efficient. By constructing emulation networks through an exhaustive search in the compiler space, we show that topological properties determining emulation direction, such as ingoing and outgoing hub degrees, suggest a topological classification of complexity based on computing capabilities. We provide a new Turing-universality result in ECA space based on a composition of ECA rules emulating ECA rule 110. The results suggest that complexity is, or can be, completely driven by initial conditions, and these are therefore in this sense more fundamental than the computer program code/rules. The approach yields a novel perspective on complexity, controllability, causality, and reprogrammability of even the simplest computer programs providing strong evidence of ubiquitous intrinsic and Turing-universality.

Connected through hyperedge HE-1 (induced by source paper "holographic automata for ambient immersive a i via reservoir computing"):
  with members:
    - "reservoir computing using non uniform binary cellular automata"
    - "deep reservoir computing using cellular automata"
    - "connectionist symbolic machine intelligence using cellular automata based reservoir hyperdimensional computing"
    - "conceptors an easy introduction"
    - "controlling recurrent neural networks by conceptors"
    - "on geometric algebra representation of binary spatter codes"
    - "distributed computation as hierarchy"

Connected through hyperedge HE-2 (induced by source paper "paths to unconventional computing causality in complexity"):
  with members:
    - "algorithmic data analytics small data matters and correlation versus causation"
    - "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation"
    - "causality information and biological computation an algorithmic software approach to life disease and the immune system"
    - "natural scene statistics mediate the perception of image complexity"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "what is nature like computation a behavioural approach and a notion of programmability"
    - "a behavioural foundation for natural computing and a programmability test"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"

Connected through hyperedge HE-3 (induced by source paper "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation"):
  with members:
    - "what is nature like computation a behavioural approach and a notion of programmability"
    - "exploring programmable self assembly in non dna based molecular computing"
    - "a behavioural foundation for natural computing and a programmability test"
    - "on the dynamic qualitative behaviour of universal computation"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "most programs stop quickly or never halt"

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.FL(Formal Languages and Automata Theory)