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: "crowd simulation modeling applied to emergency and evacuation simulations using multi agent systems"
  Abstract: In recent years crowd modeling has become increasingly important both in the computer games industry and in emergency simulation. This paper discusses some aspects of what has been accomplished in this field, from social sciences to the computer implementation of modeling and simulation. Problem overview is described including some of the most common techniques used. Multi-Agent Systems is stated as the preferred approach for emergency evacuation simulations. A framework is proposed based on the work of Fangqin and Aizhu with extensions to include some BDI aspects. Future work includes expansion of the model's features and implementation of a prototype for validation of the propose methodology.

Connected through hyperedge HE-1 (induced by source paper "the impact of position errors on crowd simulation"):
  with members:
    - "early warning of human crowds based on query data from baidu maps analysis based on shanghai stampede"
    - "sensor fusion of camera gps and imu using fuzzy adaptive multiple motion models"

Connected through hyperedge HE-2 (induced by source paper "a survey of recent advances in cnn based single image crowd counting and density estimation"):
  with members:
    - "switching convolutional neural network for crowd counting"
    - "cnn based cascaded multi task learning of high level prior and density estimation for crowd counting"
    - "resnetcrowd a residual deep learning architecture for crowd counting violent behaviour detection and crowd density level classification"
    - "beyond counting comparisons of density maps for crowd analysis tasks counting detection and tracking"
    - "mixture of counting cnns adaptive integration of cnns specialized to specific appearance for crowd counting"
    - "image de raining using a conditional generative adversarial network"
    - "a large contextual dataset for classification detection and counting of cars with deep learning"
    - "perceptual losses for real time style transfer and super resolution"

Connected through hyperedge HE-3 (induced by source paper "preliminary experiments with eva serious games virtual fire drill simulator"):
  with members:
    - "microscopic pedestrian flow characteristics development of an image processing data collection and simulation model"
    - "netlogo implementation of an evacuation scenario"
    - "towards a serious games evacuation simulator"

Connected through hyperedge HE-4 (induced by source paper "towards a serious games evacuation simulator"):
  with members:
    - "microscopic pedestrian flow characteristics development of an image processing data collection and simulation model"
    - "a physically based particle model of emergent crowd behaviors"

Connected through hyperedge HE-5 (induced by source paper "using uwb for human trajectory extraction"):
  with members:
    - "netlogo implementation of an evacuation scenario"

Connected through hyperedge HE-6 (induced by source paper "using serious games to train evacuation behaviour"):
  with members:
    - "a physically based particle model of emergent crowd behaviors"

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.MA(Multiagent Systems)