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 computational model of commonsense moral decision making"
  Abstract: We introduce a new computational model of moral decision making, drawing on a recent theory of commonsense moral learning via social dynamics. Our model describes moral dilemmas as a utility function that computes trade-offs in values over abstract moral dimensions, which provide interpretable parameter values when implemented in machine-led ethical decision-making. Moreover, characterizing the social structures of individuals and groups as a hierarchical Bayesian model, we show that a useful description of an individual's moral values - as well as a group's shared values - can be inferred from a limited amount of observed data. Finally, we apply and evaluate our approach to data from the Moral Machine, a web application that collects human judgments on moral dilemmas involving autonomous vehicles.

Connected through hyperedge HE-1 (induced by source paper "scaling up psychology via scientific regret minimization a case study in moral decision making"):
  with members:
    - "using machine learning to guide cognitive modeling a case study in moral reasoning"
    - "flipout efficient pseudo independent weight perturbations on mini batches"
    - "gpipe efficient training of giant neural networks using pipeline parallelism"
    - "on calibration of modern neural networks"
    - "the theory is predictive but is it complete an application to human perception of randomness"
    - "evaluating and improving the correspondence between deep neural networks and human representations"
    - "how deep is knowledge tracing"

Connected through hyperedge HE-2 (induced by source paper "grounding value alignment with ethical principles"):
  with members:
    - "a voting based system for ethical decision making"
    - "research priorities for robust and beneficial artificial intelligence"

Connected through hyperedge HE-3 (induced by source paper "deep tractable probabilistic models for moral responsibility"):
  with members:
    - "learning and testing causal models with interventions"
    - "towards formal definitions of blameworthiness intention and moral responsibility"
    - "a voting based system for ethical decision making"
    - "on the latent variable interpretation in sum product networks"
    - "sum product networks a new deep architecture"
    - "evaluating influence diagrams with decision circuits"
    - "solving sat and bayesian inference with backtracking search"

Connected through hyperedge HE-4 (induced by source paper "trolleymod v1 0 an open source simulation and data collection platform for ethical decision making in autonomous vehicles"):
  with members:
    - "cirl controllable imitative reinforcement learning for vision based self driving"
    - "a voting based system for ethical decision making"
    - "carla an open urban driving simulator"
    - "using experimental game theory to transit human values to ethical ai"
    - "fairness through awareness"

Connected through hyperedge HE-5 (induced by source paper "mimetic vs anchored value alignment in artificial intelligence"):
  with members:
    - "value alignment fair play and the rights of service robots"
    - "balancing lexicographic fairness and a utilitarian objective with application to kidney exchange"
    - "a voting based system for ethical decision making"
    - "fairness through awareness"

Connected through hyperedge HE-6 (induced by source paper "a voting based system for ethical decision making"):
  with members:
    - "the social dilemma of autonomous vehicles"
    - "random utility theory for social choice"
    - "fairness through awareness"

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)