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 "modeling cyber physical human systems via an interplay between reinforcement learning and game theory"):
  Abstract: Predicting the outcomes of cyber-physical systems with multiple human interactions is a challenging problem. This article reviews a game theoretical approach to address this issue, where reinforcement learning is employed to predict the time-extended interaction dynamics. We explain that the most attractive feature of the method is proposing a computationally feasible approach to simultaneously model multiple humans as decision makers, instead of determining the decision dynamics of the intelligent agent of interest and forcing the others to obey certain kinematic and dynamic constraints imposed by the environment. We present two recent exploitations of the method to model 1) unmanned aircraft integration into the National Airspace System and 2) highway traffic. We conclude the article by providing ongoing and future work about employing, improving and validating the method. We also provide related open problems and research opportunities.

Includes members:
  Member "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the power of d choices in scheduling for data centers with heterogeneous servers")
  Member "reachability based safety and goal satisfaction of unmanned aerial platoons on air highways":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "ttr based rewards for reinforcement learning with implicit model priors")
  Member "provably safe and robust drone routing via sequential path planning a case study in san francisco and the bay area":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an efficient reachability based framework for provably safe autonomous navigation in unknown environments")
  Member "game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "autonomous highway driving using deep reinforcement learning")
  Member "safe platooning of unmanned aerial vehicles via reachability":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "verification for machine learning autonomy and neural networks survey")
  Member "cyber physical security a game theory model of humans interacting over control systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts")
  Member "counter factual reinforcement learning how to model decision makers that anticipate the future":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the power of d choices in scheduling for data centers with heterogeneous servers")
  Member "game theoretic modeling of pilot behavior during mid air encounters":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts")

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)