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 "conditional plausibility measures and bayesian networks"):
  Abstract: A general notion of algebraic conditional plausibility measures is defined. Probability measures, ranking functions, possibility measures, and (under the appropriate definitions) sets of probability measures can all be viewed as defining algebraic conditional plausibility measures. It is shown that algebraic conditional plausibility measures can be represented using Bayesian networks.

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 "independence concepts for convex sets of probabilities":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "weighted regret based likelihood a new approach to describing uncertainty")
  Member "separation properties of sets of probability measures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "updating beliefs with incomplete observations")
  Member "on the logic of causal models":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "probabilistic reasoning across the causal hierarchy")
  Member "general belief measures":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a plausibility semantics for abstract argumentation frameworks")
  Member "irrelevance and independence relations in quasi bayesian networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "credal networks under maximum entropy")
  Member "conditional independence in possibility theory":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "user interface tools for navigation in conditional probability tables and elicitation of probabilities in bayesian networks")
  Member "on the relation between kappa calculus and probabilistic reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "factored probabilistic belief tracking")

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)