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: "compression based investigation of the dynamical properties of cellular automata and other systems"
  Abstract: A method for studying the qualitative dynamical properties of abstract computing machines based on the approximation of their program-size complexity using a general lossless compression algorithm is presented. It is shown that the compression-based approach classifies cellular automata (CA) into clusters according to their heuristic behavior, with these clusters showing a correspondence with Wolfram's main classes of CA behavior. A compression based method to estimate a characteristic exponent to detect phase transitions and measure the resiliency or sensitivity of a system to its initial conditions is also proposed. A conjecture regarding the capability of a system to reach computational universality related to the values of this phase transition coefficient is formulated. These ideas constitute a compression-based framework for investigating the dynamical properties of cellular automata and other systems.

Connected through hyperedge HE-1 (induced by source paper "the information theoretic and algorithmic approach to human animal and artificial cognition"):
  with members:
    - "algorithmic complexity for short binary strings applied to psychology a primer"
    - "algorithmic complexity for psychology a user friendly implementation of the coding theorem method"
    - "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"
    - "is consciousness computable quantifying integrated information using algorithmic information theory"
    - "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"
    - "algorithmic simplicity and relevance"

Connected through hyperedge HE-2 (induced by source paper "causality information and biological computation an algorithmic software approach to life disease and the immune system"):
  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"
    - "turing patterns with turing machines emergence and low level structure formation"
    - "the world is either algorithmic or mostly random"
    - "on the algorithmic nature of the world"

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"
    - "on the dynamic qualitative behaviour of universal computation"
    - "empirical encounters with computational irreducibility and unpredictability"

Connected through hyperedge HE-4 (induced by source paper "complexity fits the fittest"):
  with members:
    - "on the necessity of complexity"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"

Connected through hyperedge HE-5 (induced by source paper "fractal dimension versus process complexity"):
  with members:
    - "complexity fits the fittest"
    - "on the necessity of complexity"
    - "on the dynamic qualitative behaviour of universal computation"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-6 (induced by source paper "exploring programmable self assembly in non dna based molecular computing"):
  with members:
    - "information distance new developments"
    - "on the dynamic qualitative behaviour of universal computation"
    - "information distance in multiples"
    - "the computational power of benenson automata"
    - "the similarity metric"

Connected through hyperedge HE-7 (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"
    - "on the dynamic qualitative behaviour of universal computation"
    - "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "the symbol grounding problem"

Connected through hyperedge HE-8 (induced by source paper "fractal dimension versus computational complexity"):
  with members:
    - "on the necessity of complexity"
    - "on the dynamic qualitative behaviour of universal computation"
    - "empirical encounters with computational irreducibility and unpredictability"

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)