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: "perspective simple agents learn to find their way an introduction on mapping polygons"
  Abstract: This paper gives an introduction to the problem of mapping simple polygons with autonomous agents. We focus on minimalistic agents that move from vertex to vertex along straight lines inside a polygon, using their sensors to gather local data at each vertex. Our attention revolves around the question whether a given configuration of sensors and movement capabilities of the agents allows them to capture enough data in order to draw conclusions regarding the global layout of the polygon. In particular, we study the problem of reconstructing the visibility graph of a simple polygon by an agent moving either inside or on the boundary of the polygon. Our aim is to provide insight about the algorithmic challenges faced by an agent trying to map a polygon. We present an overview of techniques for solving this problem with agents that are equipped with simple sensorial capabilities. We illustrate these techniques on examples with sensors that measure angles between lines of sight or identify the previous location. We also give an overview over related problems in combinatorial geometry as well as graph exploration.

Connected through hyperedge HE-1 (induced by source paper "positional encoding by robots with non rigid movements"):
  with members:
    - "arbitrary pattern formation on infinite grid by asynchronous oblivious robots"
    - "meeting in a polygon by anonymous oblivious robots"
    - "asynchronous arbitrary pattern formation the effects of a rigorous approach"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "a distributed algorithm for gathering many fat mobile robots in the plane"
    - "how to meet asynchronously almost everywhere"
    - "asynchronous deterministic rendezvous in bounded terrains"

Connected through hyperedge HE-2 (induced by source paper "self stabilizing meeting in a polygon by anonymous oblivious robots"):
  with members:
    - "meeting in a polygon by anonymous oblivious robots"
    - "asynchronous approach in the plane a deterministic polynomial algorithm"
    - "mutual visibility by luminous robots without collisions"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "distributed computing by mobile robots uniform circle formation"
    - "how to meet asynchronously at polynomial cost"
    - "how to meet asynchronously almost everywhere"
    - "asynchronous deterministic rendezvous in bounded terrains"

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.CG(Computational Geometry)