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: "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness"
  Abstract: We describe an alternative method (to compression) that combines several theoretical and experimental results to numerically approximate the algorithmic (Kolmogorov-Chaitin) complexity of all $\sum_{n=1}^82^n$ bit strings up to 8 bits long, and for some between 9 and 16 bits long. This is done by an exhaustive execution of all deterministic 2-symbol Turing machines with up to 4 states for which the halting times are known thanks to the Busy Beaver problem, that is 11019960576 machines. An output frequency distribution is then computed, from which the algorithmic probability is calculated and the algorithmic complexity evaluated by way of the (Levin-Zvonkin-Chaitin) coding theorem.

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"
    - "on the dynamic qualitative behaviour of universal computation"
    - "most programs stop quickly or never halt"

Connected through hyperedge HE-2 (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-3 (induced by source paper "a computable measure of algorithmic probability by finite approximations"):
  with members:
    - "algorithmic data analytics small data matters and correlation versus causation"
    - "a decomposition method for global evaluation of shannon entropy and local estimations of algorithmic complexity"
    - "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"
    - "correspondence and independence of numerical evaluations of algorithmic information measures"
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"

Connected through hyperedge HE-4 (induced by source paper "numerical investigation of graph spectra and information interpretability of eigenvalues"):
  with members:
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "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"
    - "search space contraction in canonical labeling of graphs"

Connected through hyperedge HE-5 (induced by source paper "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"):
  with members:
    - "correspondence and independence of numerical evaluations of algorithmic information measures"
    - "conflict anticipation in the search for graph automorphisms"
    - "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"
    - "on the algorithmic nature of the world"
    - "on the kolmogorov chaitin complexity for short sequences"
    - "complexity of networks"

Connected through hyperedge HE-6 (induced by source paper "algorithmic complexity for short binary strings applied to psychology a primer"):
  with members:
    - "calculating kolmogorov complexity from the output frequency distributions of small turing machines"
    - "towards a stable definition of kolmogorov chaitin complexity"

Connected through hyperedge HE-7 (induced by source paper "complexity fits the fittest"):
  with members:
    - "on the necessity of complexity"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"

Connected through hyperedge HE-8 (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"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "the symbol grounding problem"

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.IT(Information Theory)