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: "counterfactuals and policy analysis in structural models"
  Abstract: Evaluation of counterfactual queries (e.g., "If A were true, would C have been true?") is important to fault diagnosis, planning, determination of liability, and policy analysis. We present a method of revaluating counterfactuals when the underlying causal model is represented by structural models - a nonlinear generalization of the simultaneous equations models commonly used in econometrics and social sciences. This new method provides a coherent means for evaluating policies involving the control of variables which, prior to enacting the policy were influenced by other variables in the system.

Connected through hyperedge HE-1 (induced by source paper "explainable reinforcement learning through a causal lens"):
  with members:
    - "a grounded interaction protocol for explainable artificial intelligence"
    - "metrics for explainable ai challenges and prospects"
    - "contrastive explanation a structural model approach"
    - "contrastive explanations for reinforcement learning in terms of expected consequences"
    - "autonomous self explanation of behavior for interactive reinforcement learning agents"
    - "explanation in artificial intelligence insights from the social sciences"
    - "starcraft ii a new challenge for reinforcement learning"
    - "explanation trees for causal bayesian networks"

Connected through hyperedge HE-2 (induced by source paper "probabilities of causation bounds and identification"):
  with members:
    - "axiomatizing causal reasoning"
    - "testing identifiability of causal effects"
    - "a probabilistic calculus of actions"
    - "decision theoretic troubleshooting a framework for repair and experiment"
    - "psychological and normative theories of causal power and the probabilities of causes"

Connected through hyperedge HE-3 (induced by source paper "counterfactual reasoning in linear structural equation models"):
  with members:
    - "counterfactual probabilities computational methods bounds and applications"
    - "probabilities of causation bounds and identification"
    - "generalized instrumental variables"

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)