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 "nonmonotonic probabilistic logics between model theoretic probabilistic logic and probabilistic logic under coherence"):
  Abstract: Recently, it has been shown that probabilistic entailment under coherence is weaker than model-theoretic probabilistic entailment. Moreover, probabilistic entailment under coherence is a generalization of default entailment in System P. In this paper, we continue this line of research by presenting probabilistic generalizations of more sophisticated notions of classical default entailment that lie between model-theoretic probabilistic entailment and probabilistic entailment under coherence. That is, the new formalisms properly generalize their counterparts in classical default reasoning, they are weaker than model-theoretic probabilistic entailment, and they are stronger than probabilistic entailment under coherence. The new formalisms are useful especially for handling probabilistic inconsistencies related to conditioning on zero events. They can also be applied for probabilistic belief revision. More generally, in the same spirit as a similar previous paper, this paper sheds light on exciting new formalisms for probabilistic reasoning beyond the well-known standard ones.

Includes members:
  Member "constraint propagation with imprecise conditional probabilities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "propagation of 2 monotone lower probabilities on an undirected graph")
  Member "probabilistic description logics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "probabilistic dl reasoning with pinpointing formulas a prolog based approach")
  Member "belief functions and default reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "what is the plausibility of probability revised 2003 2015")
  Member "probabilistic logic programming under inheritance with overriding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "probabilistic default reasoning with conditional constraints")
  Member "from statistical knowledge bases to degrees of belief":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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-6 (induced by source paper "a reconstruction of the multipreference closure")
  Member "another perspective on default reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (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-8 (induced by source paper "on the existence of characterization logics and fundamental properties of argumentation semantics")

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)