human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"):
  Abstract: We propose a measure based upon the fundamental theoretical concept in algorithmic information theory that provides a natural approach to the problem of evaluating $n$-dimensional complexity by using an $n$-dimensional deterministic Turing machine. The technique is interesting because it provides a natural algorithmic process for symmetry breaking generating complex $n$-dimensional structures from perfectly symmetric and fully deterministic computational rules producing a distribution of patterns as described by algorithmic probability. Algorithmic probability also elegantly connects the frequency of occurrence of a pattern with its algorithmic complexity, hence effectively providing estimations to the complexity of the generated patterns. Experiments to validate estimations of algorithmic complexity based on these concepts are presented, showing that the measure is stable in the face of some changes in computational formalism and that results are in agreement with the results obtained using lossless compression algorithms when both methods overlap in their range of applicability. We then use the output frequency of the set of 2-dimensional Turing machines to classify the algorithmic complexity of the space-time evolutions of Elementary Cellular Automata.

Includes members:
  Member "correspondence and independence of numerical evaluations of algorithmic information measures":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "data dimension reduction and network sparsification based on minimal algorithmic information loss")
  Member "calculating kolmogorov complexity from the output frequency distributions of small turing machines":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "how incomputable is kolmogorov complexity")
  Member "compression based investigation of the dynamical properties of cellular automata and other systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the information theoretic and algorithmic approach to human animal and artificial cognition")
  Member "towards a stable definition of kolmogorov chaitin complexity":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability")
  Member "on the kolmogorov chaitin complexity for short sequences":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "compression is comprehension and the unreasonable effectiveness of digital computation in the natural world")
  Member "most programs stop quickly or never halt":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation")

Question: Please tell me which class the source paper 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)