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: "on the dynamic qualitative behaviour of universal computation"
  Abstract: We explore the possible connections between the dynamic behaviour of a system and Turing universality in terms of the system's ability to (effectively) transmit and manipulate information. Some arguments will be provided using a defined compression-based transition coefficient which quantifies the sensitivity of a system to being programmed. In the same spirit, a list of conjectures concerning the ability of Busy Beaver Turing machines to perform universal computation will be formulated. The main working hypothesis is that universality is deeply connected to the qualitative behaviour of a system, particularly to its ability to react to external stimulus--as it needs to be programmed--and to its capacity for transmitting this information.

Connected through hyperedge HE-1 (induced by source paper "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation"):
  with members:
    - "cross boundary behavioural reprogrammability of cellular automata from emulation networks"
    - "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"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "most programs stop quickly or never halt"

Connected through hyperedge HE-2 (induced by source paper "quantifying natural and artificial intelligence in robots and natural systems with an algorithmic behavioural test"):
  with members:
    - "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"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"
    - "empirical encounters with computational irreducibility and unpredictability"

Connected through hyperedge HE-3 (induced by source paper "what is nature like computation a behavioural approach and a notion of programmability"):
  with members:
    - "a behavioural foundation for natural computing and a programmability test"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"

Connected through hyperedge HE-4 (induced by source paper "fractal dimension versus process complexity"):
  with members:
    - "complexity fits the fittest"
    - "on the necessity of complexity"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-5 (induced by source paper "exploring programmable self assembly in non dna based molecular computing"):
  with members:
    - "information distance new developments"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "information distance in multiples"
    - "the computational power of benenson automata"
    - "the similarity metric"

Connected through hyperedge HE-6 (induced by source paper "a behavioural foundation for natural computing and a programmability test"):
  with members:
    - "what is nature like computation a behavioural approach and a notion of programmability"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "the symbol grounding problem"

Connected through hyperedge HE-7 (induced by source paper "fractal dimension versus computational complexity"):
  with members:
    - "on the necessity of complexity"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"

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.CC(Computational Complexity)