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 "the non cooperative tile assembly model is not intrinsically universal or capable of bounded turing machine simulation"):
  Abstract: The field of algorithmic self-assembly is concerned with the computational and expressive power of nanoscale self-assembling molecular systems. In the well-studied cooperative, or temperature 2, abstract tile assembly model it is known that there is a tile set to simulate any Turing machine and an intrinsically universal tile set that simulates the shapes and dynamics of any instance of the model, up to spatial rescaling. It has been an open question as to whether the seemingly simpler noncooperative, or temperature 1, model is capable of such behaviour. Here we show that this is not the case, by showing that there is no tile set in the noncooperative model that is intrinsically universal, nor one capable of time-bounded Turing machine simulation within a bounded region of the plane. #R##N#Although the noncooperative model intuitively seems to lack the complexity and power of the cooperative model it was not obvious how to prove this. One reason is that there have been few tools to analyse the structure of complicated paths in the plane. This paper provides a number of such tools. A second reason is that almost every obvious and small generalisation to the model (e.g. allowing error, 3D, non-square tiles, signals/wires on tiles, tiles that repel each other, parallel synchronous growth) endows it with great computational, and sometimes simulation, power. Our main results show that all of these generalisations provably increase computational and/or simulation power. Our results hold for both deterministic and nondeterministic noncooperative systems. Our first main result stands in stark contrast with the fact that for both the cooperative tile assembly model, and for 3D noncooperative tile assembly, there are respective intrinsically universal tilesets. Our second main result gives a new technique (reduction to simulation) for proving negative results about computation in tile assembly.

Includes members:
  Member "computing in continuous space with self assembling polygonal tiles":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the program size complexity of self assembled paths")
  Member "universal computation with arbitrary polyomino tiles in non cooperative self assembly":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the program size complexity of self assembled paths")
  Member "the power of duples in self assembly it s not so hip to be square":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the program size complexity of self assembled paths")
  Member "the two handed tile assembly model is not intrinsically universal":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the program size complexity of self assembled paths")
  Member "intrinsic universality in tile self assembly requires cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the program size complexity of self assembled paths")
  Member "intrinsic universality and the computational power of self assembly":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the program size complexity of self assembled paths")
  Member "asynchronous signal passing for tile self assembly fuel efficient computation and efficient assembly of shapes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the program size complexity of self assembled paths")
  Member "one tile to rule them all simulating any turing machine tile assembly system or tiling system with a single puzzle piece":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the program size complexity of self assembled paths")

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)