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: "a model for safety case confidence assessment"
  Abstract: Building a safety case is a common approach to make expert judgement explicit about safety of a system. The issue of confidence in such argumentation is still an open research field. Providing quantitative estimation of confidence is an interesting approach to manage complexity of arguments. This paper explores the main current approaches, and proposes a new model for quantitative confidence estimation based on Belief Theory for its definition, and on Bayesian Belief Networks for its propagation in safety case networks.

Connected through hyperedge HE-1 (induced by source paper "a corroborative approach to verification and validation of human robot teams"):
  with members:
    - "formal verification of obstacle avoidance and navigation of ground robots"
    - "testing verification and improvements of timeliness in ros processes"
    - "coverage driven verification an approach to verify code for robots that directly interact with humans"
    - "systematic and realistic testing in simulation of control code for robots in collaborative human robot interactions"
    - "towards the safety of human in the loop robotics challenges and opportunities for safety assurance of robotic co workers"

Connected through hyperedge HE-2 (induced by source paper "an assurance based approach to verification and validation of human robot teams"):
  with members:
    - "testing verification and improvements of timeliness in ros processes"
    - "code generator composition for model driven engineering of robotics component connector systems"
    - "coverage driven verification an approach to verify code for robots that directly interact with humans"
    - "towards the safety of human in the loop robotics challenges and opportunities for safety assurance of robotic co workers"

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)