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: "computation of the travelling salesman problem by a shrinking blob"
  Abstract: The Travelling Salesman Problem (TSP) is a well known and challenging combinatorial optimisation problem. Its computational intractability has attracted a number of heuristic approaches to generate satisfactory, if not optimal, candidate solutions. In this paper we demonstrate a simple unconventional computation method to approximate the Euclidean TSP using a virtual material approach. The morphological adaptation behaviour of the material emerges from the low-level interactions of a population of particles moving within a diffusive lattice. A `blob' of this material is placed over a set of data points projected into the lattice, representing TSP city locations, and the blob is reduced in size over time. As the blob shrinks it morphologically adapts to the configuration of the cities. The shrinkage process automatically stops when the blob no longer completely covers all cities. By manually tracing the perimeter of the blob a path between cities is elicited corresponding to a TSP tour. Over 6 runs on 20 randomly generated datasets of 20 cities this simple and unguided method found tours with a mean best tour length of 1.04, mean average tour length of 1.07 and mean worst tour length of 1.09 when expressed as a fraction of the minimal tour computed by an exact TSP solver. We examine the insertion mechanism by which the blob constructs a tour, note some properties and limitations of its performance, and discuss the relationship between the blob TSP and proximity graphs which group points on the plane. The method is notable for its simplicity and the spatially represented mechanical mode of its operation. We discuss similarities between this method and previously suggested models of human performance on the TSP and suggest possibilities for further improvement.

Connected through hyperedge HE-1 (induced by source paper "unconventional bio inspired model for design of logic gates"):
  with members:
    - "physarum machine implementation of a kolmogorov uspensky machine on a biological substrate"

Connected through hyperedge HE-2 (induced by source paper "embodied approximation of the density classification problem via morphological adaptation"):
  with members:
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"

Connected through hyperedge HE-3 (induced by source paper "thirty eight things to do with live slime mould"):
  with members:
    - "material approximation of data smoothing and spline curves inspired by slime mould"
    - "on hybrid circuits exploiting thermistive properties of slime mould"
    - "slime mould electronic oscillators"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "bio imitation of mexican migration routes to the usa with slime mould on 3d terrains"
    - "towards slime mould colour sensor recognition of colours by physarum polycephalum"
    - "slime mould tactile sensor"
    - "on creativity of slime mould"

Connected through hyperedge HE-4 (induced by source paper "applications of multi agent slime mould computing"):
  with members:
    - "a morphological adaptation approach to path planning inspired by slime mould"
    - "material approximation of data smoothing and spline curves inspired by slime mould"
    - "quantitative transformation for implementation of adder circuits in physical systems"
    - "approximation of statistical analysis and estimation by morphological adaptation in a model of slime mould"
    - "slime mould inspired generalised voronoi diagrams with repulsive fields"
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "mechanisms inducing parallel computation in a model of physarum polycephalum transport networks"
    - "representation of shape mediated by environmental stimuli in physarum polycephalum and a multi agent model"

Connected through hyperedge HE-5 (induced by source paper "representation of shape mediated by environmental stimuli in physarum polycephalum and a multi agent model"):
  with members:
    - "material approximation of data smoothing and spline curves inspired by slime mould"
    - "approximation of statistical analysis and estimation by morphological adaptation in a model of slime mould"
    - "slime mould inspired generalised voronoi diagrams with repulsive fields"
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "slime mould computes planar shapes"

Connected through hyperedge HE-6 (induced by source paper "on the role of the plasmodial cytoskeleton in facilitating intelligent behaviour in slime mould physarum polycephalum"):
  with members:
    - "slime mould inspired generalised voronoi diagrams with repulsive fields"
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "towards slime mould chemical sensor mapping chemical inputs onto electrical potential dynamics of physarum polycephalum"
    - "slime mould tactile sensor"

Connected through hyperedge HE-7 (induced by source paper "material approximation of data smoothing and spline curves inspired by slime mould"):
  with members:
    - "slime mould inspired generalised voronoi diagrams with repulsive fields"
    - "the emergence and dynamical evolution of complex transport networks from simple low level behaviours"
    - "towards physarum robots computing and manipulating on water surface"

Connected through hyperedge HE-8 (induced by source paper "a morphological adaptation approach to path planning inspired by slime mould"):
  with members:
    - "material approximation of data smoothing and spline curves inspired by slime mould"
    - "physarum machine implementation of a kolmogorov uspensky machine on a biological substrate"

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.ET(Emerging Technologies)