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 "algorithmic networks central time to trigger expected emergent open endedness"):
  Abstract: Abstract   This article investigates emergence of algorithmic complexity in computable systems that can share information on a network. To this end, we use a theoretical approach from information theory, computability theory, and complex networks theory. One key studied question is how much emergent complexity arises when a population of computable systems is networked compared with when this population is isolated. First, we define a general model for networked theoretical machines, which we call algorithmic networks. Then, we narrow our scope to investigate algorithmic networks that increase the average fitnesses of nodes in a scenario in which each node imitates the fittest neighbor and the randomly generated population is networked by a time-varying graph. We show that there are graph-topological conditions that make these algorithmic networks have the property of expected emergent open-endedness for large enough populations. In other words, the expected emergent algorithmic complexity of a node tends to infinity as the population size tends to infinity. Given a dynamic network, we show that these conditions imply the existence of a central time to trigger expected emergent open-endedness. Moreover, we show that networks with small diameter compared to the network size meet these conditions.

Includes members:
  Member "self referential basis of undecidable dynamics from the liar paradox and the halting problem to the edge of chaos":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "relating complexities for the reflexive study of complex systems")
  Member "algorithmically probable mutations reproduce aspects of evolution such as convergence rate genetic memory and modularity":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "algorithmic probability guided supervised machine learning on non differentiable spaces")
  Member "quantifying synergistic information using intermediate stochastic variables":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an operational information decomposition via synergistic disclosure")
  Member "the paradox of computability and a recursive relative version of the busy beaver function":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning the undecidable from networked systems")
  Member "computing halting probabilities from other halting probabilities":
    also connected through other hyperedges:
      (none)
  Member "undecidability and irreducibility conditions for open ended evolution and emergence":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning the undecidable from networked systems")
  Member "relativizing an incompressible number and an incompressible function through subrecursive extensions of turing machines":
    also connected through other hyperedges:
      (none)
  Member "on multiaspect graphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "weighted bipartite or directed stream graphs for the modeling of temporal networks")

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.IT(Information Theory)