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: "game theoretic modeling of pilot behavior during mid air encounters"
  Abstract: We show how to combine Bayes nets and game theory to predict the behavior of hybrid systems involving both humans and automated components. We call this novel framework “Semi Network-Form Games”, and illustrate it by predicting aircraft pilot behavior in potential near mid-air collisions. At present, at the beginning of such potential collisions, a collision avoidance system in the aircraft cockpit advises the pilots what to do to avoid the collision. However studies of mid-air encounters have found wide variability in pilot responses to avoidance system advisories. In particular, pilots rarely perfectly execute the recommended maneuvers, despite the fact that the collision avoidance system’s effectiveness relies on their doing so. Rather pilots decide their actions based on all information available to them (advisory, instrument readings, visual observations). We show how to build this aspect into a semi network-form game model of the encounter and then present computational simulations of the resultant model.

Connected through hyperedge HE-1 (induced by source paper "modeling cyber physical human systems via an interplay between reinforcement learning and game theory"):
  with members:
    - "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts"
    - "reachability based safety and goal satisfaction of unmanned aerial platoons on air highways"
    - "provably safe and robust drone routing via sequential path planning a case study in san francisco and the bay area"
    - "game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems"
    - "safe platooning of unmanned aerial vehicles via reachability"
    - "cyber physical security a game theory model of humans interacting over control systems"
    - "counter factual reinforcement learning how to model decision makers that anticipate the future"

Connected through hyperedge HE-2 (induced by source paper "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts"):
  with members:
    - "game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems"
    - "cyber physical security a game theory model of humans interacting over control systems"
    - "counter factual reinforcement learning how to model decision makers that anticipate the future"

Connected through hyperedge HE-3 (induced by source paper "cyber physical security a game theory model of humans interacting over control systems"):
  with members:
    - "counter factual reinforcement learning how to model decision makers that anticipate the future"
    - "stochastic games for security in networks with interdependent nodes"
    - "reinforcement learning a survey"

Connected through hyperedge HE-4 (induced by source paper "counter factual reinforcement learning how to model decision makers that anticipate the future"):
  with members:
    - "extensive games with possibly unaware players"
    - "a framework for sequential planning in multi agent settings"
    - "evolutionary algorithms for reinforcement learning"
    - "reinforcement learning a survey"

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.GT(Computer Science and Game Theory)