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 "fractal dimension versus computational complexity"):
  Abstract: In this paper we look at small Turing machines (TMs) that work with just two colors (alphabet symbols) and either two or three states. For any particular such machine $\tau$ and any particular input $x$ we consider what we call the \emph{space-time} diagram which basically is just the collection of consecutive tape configurations of the computation $\tau(x)$. #R##N#In our setting it makes sense to define a fractal dimension for a Turing machine as the limiting fractal dimension for the corresponding space-time diagrams. It turns out that there is a very strong relation between the fractal dimension of a Turing machine of the above specified type and its runtime complexity. #R##N#In particular, a TM with three states and two colors runs in at most linear time iff its dimension is 2, and its dimension is 1 iff it runs in super-polynomial time and it uses polynomial space. If a TM runs in time ${\mathcal O} {(x^n)}$ we have empirically verified that the corresponding dimension is $\frac{n+1}{n}$, a result that we can only partially prove. #R##N#We find the results presented here remarkable because they relate two completely different complexity measures: the geometrical fractal dimension on the one side versus the time complexity of a computation on the other side.

Includes members:
  Member "on the necessity of complexity":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ab initio algorithmic causal deconvolution of intertwined programs and networks by generative mechanism")
  Member "on the dynamic qualitative behaviour of universal computation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (induced by source paper "quantifying natural and artificial intelligence in robots and natural systems with an algorithmic behavioural test")
  Member "compression based investigation of the dynamical properties of cellular automata and other systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the information theoretic and algorithmic approach to human animal and artificial cognition")

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)