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: "some theorems on the algorithmic approach to probability theory and information theory"
  Abstract: This is a 1971 dissertation. Only its extended abstract was published at the time. While some results appeared in other publications, a number of details remained unpublished and may still have relevance.

Connected through hyperedge HE-1 (induced by source paper "kolmogorov complexity in the ussr 1975 1982 isolation and its end"):
  with members:
    - "kolmogorov s structure functions and model selection"

Connected through hyperedge HE-2 (induced by source paper "zeta distribution and transfer learning problem"):
  with members:
    - "no free lunch versus occam s razor in supervised learning"

Connected through hyperedge HE-3 (induced by source paper "compression of data streams down to their information content"):
  with members:
    - "forbidden information"
    - "lower bounds on the redundancy in computations from random oracles via betting strategies with restricted wagers"
    - "short lists with short programs in short time"
    - "linear list approximation for short programs or the power of a few random bits"
    - "short lists for shortest descriptions in short time"
    - "dimension extractors and optimal decompression"
    - "every sequence is decompressible from a random one"

Connected through hyperedge HE-4 (induced by source paper "ultimate intelligence part iii measures of intelligence perception and intelligent agents"):
  with members:
    - "universal algorithmic intelligence a mathematical top down approach"
    - "optimal ordered problem solver"

Connected through hyperedge HE-5 (induced by source paper "ultimate intelligence part i physical completeness and objectivity of induction"):
  with members:
    - "an approximation of the universal intelligence measure"
    - "non equivalence of universal priors"
    - "models of quantum computation and quantum programming languages"
    - "universal algorithmic intelligence a mathematical top down approach"
    - "convergence and loss bounds for bayesian sequence prediction"
    - "optimal ordered problem solver"

Connected through hyperedge HE-6 (induced by source paper "ultimate intelligence part ii physical measure and complexity of intelligence"):
  with members:
    - "universal algorithmic intelligence a mathematical top down approach"
    - "optimal ordered problem solver"

Connected through hyperedge HE-7 (induced by source paper "fourier spectra of measures associated with algorithmically random brownian motion"):
  with members:
    - "kolmogorov complexity and the geometry of brownian motion"
    - "diophantine properties of brownian motion recursive aspects"
    - "the rapid points of a complex oscillation"
    - "computability of probability measures and martin lof randomness over metric spaces"
    - "uniform test of algorithmic randomness over a general space"

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)