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: "from conditional oughts to qualitative decision theory"
  Abstract: The primary theme of this investigation is a decision theoretic account of conditional ought statements (e.g., "You ought to do A, if C") that rectifies glaring deficiencies in classical deontic logic. The resulting account forms a sound basis for qualitative decision theory, thus providing a framework for qualitative planning under uncertainty. In particular, we show that adding causal relationships (in the form of a single graph) as part of an epistemic state is sufficient to facilitate the analysis of action sequences, their consequences, their interaction with observations, their expected utilities and, hence, the synthesis of plans and strategies under uncertainty.

Connected through hyperedge HE-1 (induced by source paper "a qualitative linear utility theory for spohn s theory of epistemic beliefs"):
  with members:
    - "arguing for decisions a qualitative model of decision making"
    - "an order of magnitude calculus"
    - "a general non probabilistic theory of inductive reasoning"
    - "on the relation between kappa calculus and probabilistic reasoning"

Connected through hyperedge HE-2 (induced by source paper "action networks a framework for reasoning about actions and change under uncertainty"):
  with members:
    - "causality in bayesian belief networks"
    - "a decision based view of causality"
    - "argument calculus and networks"
    - "reasoning with qualitative probabilities can be tractable"

Connected through hyperedge HE-3 (induced by source paper "a probabilistic calculus of actions"):
  with members:
    - "causality in bayesian belief networks"
    - "counterfactual probabilities computational methods bounds and applications"
    - "argument calculus and networks"

Connected through hyperedge HE-4 (induced by source paper "decision theoretic troubleshooting a framework for repair and experiment"):
  with members:
    - "a generalization of the noisy or model"
    - "action networks a framework for reasoning about actions and change under uncertainty"
    - "decision theoretic foundations for causal reasoning"

Connected through hyperedge HE-5 (induced by source paper "arguing for decisions a qualitative model of decision making"):
  with members:
    - "an order of magnitude calculus"
    - "a general non probabilistic theory of inductive reasoning"

Connected through hyperedge HE-6 (induced by source paper "an order of magnitude calculus"):
  with members:
    - "on reasoning in networks with qualitative uncertainty"
    - "a general non probabilistic theory of inductive reasoning"

Connected through hyperedge HE-7 (induced by source paper "on testing whether an embedded bayesian network represents a probability model"):
  with members:
    - "on the logic of causal models"
    - "causal networks semantics and expressiveness"

Connected through hyperedge HE-8 (induced by source paper "an experimental comparison of numerical and qualitative probabilistic reasoning"):
  with members:
    - "search based methods to bound diagnostic probabilities in very large belief nets"
    - "ideal a software package for analysis of influence diagrams"

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)