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: "autonomous agent behaviour modelled in prism a case study"
  Abstract: Formal verification of agents representing robot behaviour is a growing area due to the demand that autonomous systems have to be proven safe. In this paper we present an abstract definition of autonomy which can be used to model autonomous scenarios and propose the use of small-scale simulation models representing abstract actions to infer quantitative data. To demonstrate the applicability of the approach we build and verify a model of an unmanned aerial vehicle (UAV) in an exemplary autonomous scenario, utilising this approach.

Connected through hyperedge HE-1 (induced by source paper "towards integrating formal verification of autonomous robots with battery prognostics and health management"):
  with members:
    - "formal specification and verification of autonomous robotic systems a survey"
    - "probabilistic model checking of robots deployed in extreme environments"
    - "observation enhanced qos analysis of component based systems"
    - "robotics and integrated formal methods necessity meets opportunity"

Connected through hyperedge HE-2 (induced by source paper "formal specification and verification of autonomous robotic systems a survey"):
  with members:
    - "modular verification of vehicle platooning with respect to decisions space and time"
    - "automating verification of state machines with reactive designs and isabelle utp"
    - "robotics and integrated formal methods necessity meets opportunity"
    - "formal verification of obstacle avoidance and navigation of ground robots"
    - "developing bug free machine learning systems with formal mathematics"
    - "a rational agent controlling an autonomous vehicle implementation and formal verification"
    - "a stochastically verifiable autonomous control architecture with reasoning"
    - "towards the verification of safety critical autonomous systems in dynamic environments"

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.SY(Systems and Control)