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 "unpredictability and computational irreducibility"):
  Abstract: We explore several concepts for analyzing the intuitive notion of computational irreducibility and we propose a robust formal definition, first in the field of cellular automata and then in the general field of any computable function f from N to N. We prove that, through a robust definition of what means “to be unable to compute the n th step without having to follow the same path than simulating the automaton or to be unable to compute f(n) without having to compute f(i) for i = 1 to n–1”, this implies genuinely, as intuitively expected, that if the behavior of an object is computationally irreducible, no computation of its n th state can be faster than the simulation itself.

Includes members:
  Member "numerical evaluation of algorithmic complexity for short strings a glance into the innermost structure of randomness":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation")
  Member "empirical encounters with computational irreducibility and unpredictability":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantifying natural and artificial intelligence in robots and natural systems with an algorithmic behavioural test")
  Member "image characterization and classification by physical complexity":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "natural scene statistics mediate the perception of image complexity")
  Member "effective complexity and its relation to logical depth":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "relativity of depth and sophistication")
  Member "a general notion of useful information":
    also connected through other hyperedges:
      (none)
  Member "depth as randomness deficiency":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "algorithmic statistics forty years later")

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)