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: "modular verification of vehicle platooning with respect to decisions space and time"
  Abstract: The spread of autonomous systems into safety-critical areas has increased the demand for their formal verification, not only due to stronger certification requirements but also to public uncertainty over these new technologies. However, the complex nature of such systems, for example, the intricate combination of discrete and continuous aspects, ensures that whole system verification is often infeasible. This motivates the need for novel analysis approaches that modularise the problem, allowing us to restrict our analysis to one particular aspect of the system while abstracting away from others. For instance, while verifying the real-time properties of an autonomous system we might hide the details of the internal decision-making components. In this paper we describe verification of a range of properties across distinct dimesnions on a practical hybrid agent architecture. This allows us to verify the autonomous decision-making, real-time aspects, and spatial aspects of an autonomous vehicle platooning system. This modular approach also illustrates how both algorithmic and deductive verification techniques can be applied for the analysis of different system subcomponents.

Connected through hyperedge HE-1 (induced by source paper "formal specification and verification of autonomous robotic systems a survey"):
  with members:
    - "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"
    - "formal specification and analysis of autonomous systems under partial compliance"

Connected through hyperedge HE-2 (induced by source paper "robotics and integrated formal methods necessity meets opportunity"):
  with members:
    - "a stochastically verifiable autonomous control architecture with reasoning"
    - "towards the specification of adaptive robotic systems"
    - "towards the verification of safety critical autonomous systems in dynamic environments"
    - "an assurance based approach to verification and validation of human robot teams"
    - "formal verification of autonomous vehicle platooning"
    - "contribution to the formal specification and verification of a multi agent robotic system"
    - "using models at runtime to address assurance for self adaptive systems"
    - "symmetry reduction enables model checking of more complex emergent behaviours of swarm navigation algorithms"

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.AI(Artificial Intelligence)