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: "how do you command an army of intelligent things"
  Abstract: Within a decade, probably less, we will need to find ways to work effectively with ever growing numbers of intelligent things, including robots and intelligent agents. The networked workforce of the near future will thus consist of not only interconnected and interdependent humans but also of intelligent things. This raises a number of challenging issues, none more compelling and urgent than finding an answer to the question "How to manage this new organizational form?" We consider these issues in a particularly challenging domain of human endeavor -- warfare. Command and Control (C2) is the term applied to management or governance of military organizations and endeavors. We consider how human and other intelligent entities can best contribute to ensuring that the decision makers, whether human or machine, have the information they require and make good use of this information to accomplish C2 functions. Commanders or managers of mixed human-thing organizations will face several challenges that the discussion above has highlighted. Things are challenged in a number of areas and will need humans to provide these capabilities. These include their ability to explain, build trust, bond, understand personal agendas, emotions, politics, and negotiate. Things and people both to some extent have difficulty anticipating and coping with the unusual and unexpected and to think of out-of-the-box solutions.

Connected through hyperedge HE-1 (induced by source paper "intelligent autonomous things on the battlefield"):
  with members:
    - "adversarial examples are not easily detected bypassing ten detection methods"
    - "robust adversarial reinforcement learning"
    - "squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size"
    - "the internet of battle things"
    - "model agnostic meta learning for fast adaptation of deep networks"
    - "se3 nets learning rigid body motion using deep neural networks"
    - "practical black box attacks against machine learning"
    - "end to end learning for self driving cars"

Connected through hyperedge HE-2 (induced by source paper "features and operation of an autonomous agent for cyber defense"):
  with members:
    - "the internet of battle things"

Connected through hyperedge HE-3 (induced by source paper "intelligent autonomous agents are key to cyber defense of the future army networks"):
  with members:
    - "autonomous intelligent cyber defense agent aica reference architecture release 2 0"
    - "challenges and characteristics of intelligent autonomy for internet of battle things in highly adversarial environments"
    - "the internet of battle things"
    - "the limitations of deep learning in adversarial settings"

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.CY(Computers and Society)