human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "plausibility measures and default reasoning"):
  Abstract: We introduce a new approach to modeling uncertainty based on plausibility measures. This approach is easily seen to generalize other approaches to modeling uncertainty, such as probability measures, belief functions, and possibility measures. We focus on one application of plausibility measures in this paper: default reasoning. In recent years, a number of different semantics for defaults have been proposed, such as preferential structures, $\epsilon$-semantics, possibilistic structures, and $\kappa$-rankings, that have been shown to be characterized by the same set of axioms, known as the KLM properties. While this was viewed as a surprise, we show here that it is almost inevitable. In the framework of plausibility measures, we can give a necessary condition for the KLM axioms to be sound, and an additional condition necessary and sufficient to ensure that the KLM axioms are complete. This additional condition is so weak that it is almost always met whenever the axioms are sound. In particular, it is easily seen to hold for all the proposals made in the literature.

Includes members:
  Member "plausibility measures a user s guide":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "compact representations of extended causal models")
  Member "a qualitative markov assumption and its implications for belief change":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "plausibility measures a user s guide")
  Member "general belief measures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a plausibility semantics for abstract argumentation frameworks")
  Member "from statistical knowledge bases to degrees of belief":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "polynomial time probabilistic reasoning with partial observations via implicit learning in probability logics")
  Member "what does a conditional knowledge base entail":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a reconstruction of the multipreference closure")
  Member "nonmonotonic reasoning preferential models and cumulative logics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the existence of characterization logics and fundamental properties of argumentation semantics")
  Member "conditional plausibility measures and bayesian networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "compact representations of extended causal models")

Question: Please tell me which class the source paper 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)