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 "fast multipole networks"):
  Abstract: Two fundamental prerequisites for robotic multiagent systems are mobility and communication. We propose \emph{fast multipole networks} (FMNs) to achieve both ends within a unified framework. FMNs can be organized very efficiently in a distributed way from local information and are ideally suited for motion planning using artificial potentials. We compare FMNs to conventional communication topologies, and find that FMNs offer favorable communication performance in addition to their intrinsic advantages for mobility.

Includes members:
  Member "wireless resilient routing reconfiguration":
    also connected through other hyperedges:
      (none)
  Member "decentralized connectivity preserving deployment of large scale robot swarms":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "self healing ground and air connectivity chains")
  Member "distributed cohesive control for robot swarms maintaining good connectivity in the presence of exterior forces":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "self healing ground and air connectivity chains")
  Member "petascale turbulence simulation using a highly parallel fast multipole method on gpus":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "from piz daint to the stars simulation of stellar mergers using high level abstractions")
  Member "a tuned and scalable fast multipole method as a preeminent algorithm for exascale systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adaptive fast multipole methods on the gpu")

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.MA(Multiagent Systems)