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: "complexity fits the fittest"
  Abstract: In this paper we shall relate computational complexity to the principle of natural selection. We shall do this by giving a philosophical account of complexity versus universality. It seems sustainable to equate universal systems to complex systems or at least to potentially complex systems. Post’s problem on the existence of (natural) intermediate degrees (between decidable and universal \(\Sigma _1^0\)) then finds its analog in the Principle of Computational Equivalence (\(\mathbf{PCE }\)). In this paper we address possible driving forces—if any—behind \(\mathbf{PCE }\). Both the natural aspects as well as the cognitive ones are investigated. We postulate a principle \(\mathbf{GNS }\) that we call the Generalized Natural Selection principle that together with the Church-Turing thesis is seen to be in close correspondence to a weak version of \(\mathbf{PCE }\). Next, we view our cognitive toolkit in an evolutionary light and postulate a principle in analogy with Fodor’s language principle. In the final part of the paper we reflect on ways to provide circumstantial evidence for \(\mathbf{GNS }\) by means of theorems, experiments or, simulations.

Connected through hyperedge HE-1 (induced by source paper "fractal dimension versus process complexity"):
  with members:
    - "on the necessity of complexity"
    - "on the dynamic qualitative behaviour of universal computation"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"
    - "empirical encounters with computational irreducibility and unpredictability"
    - "compression based investigation of the dynamical properties of cellular automata and other systems"
    - "the dimensions of individual strings and sequences"

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.LO(Logic in Computer Science)