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: "belief functions and default reasoning"
  Abstract: We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' epsilon-semantics, are epsilon-belief assignments, where values committed to focal elements are either close to 0 or close to 1. We define two systems based on these structures, and relate them to other non-monotonic systems presented in the literature. We show that our second system correctly addresses the well-known problems of specificity, irrelevance, blocking of inheritance, ambiguity, and redundancy.

Connected through hyperedge HE-1 (induced by source paper "what is the plausibility of probability revised 2003 2015"):
  with members:
    - "cox s theorem revisited"
    - "a counterexample to theorems of cox and fine"

Connected through hyperedge HE-2 (induced by source paper "a plausibility semantics for abstract argumentation frameworks"):
  with members:
    - "general belief measures"
    - "nonmonotonic reasoning preferential models and cumulative logics"

Connected through hyperedge HE-3 (induced by source paper "probabilistic logic programming under inheritance with overriding"):
  with members:
    - "generating bayesian networks from probability logic knowledge bases"
    - "credal networks under maximum entropy"
    - "relational bayesian networks"
    - "hybrid probabilistic programs algorithms and complexity"
    - "from statistical knowledge bases to degrees of belief"
    - "another perspective on default reasoning"
    - "nonmonotonic reasoning preferential models and cumulative logics"
    - "probabilistic default reasoning with conditional constraints"

Connected through hyperedge HE-4 (induced by source paper "analytic tableaux calculi for klm logics of nonmonotonic reasoning"):
  with members:
    - "what does a conditional knowledge base entail"
    - "nonmonotonic reasoning preferential models and cumulative logics"
    - "plausibility measures and default reasoning"

Connected through hyperedge HE-5 (induced by source paper "nonmonotonic probabilistic logics between model theoretic probabilistic logic and probabilistic logic under coherence"):
  with members:
    - "constraint propagation with imprecise conditional probabilities"
    - "probabilistic description logics"
    - "probabilistic logic programming under inheritance with overriding"
    - "from statistical knowledge bases to degrees of belief"
    - "what does a conditional knowledge base entail"
    - "another perspective on default reasoning"
    - "nonmonotonic reasoning preferential models and cumulative logics"
    - "probabilistic default reasoning with conditional constraints"

Connected through hyperedge HE-6 (induced by source paper "embedding default logic in propositional argumentation systems"):
  with members:
    - "probabilistic assumption based reasoning"
    - "probabilistic deduction with conditional constraints over basic events"

Connected through hyperedge HE-7 (induced by source paper "probabilistic default reasoning with conditional constraints"):
  with members:
    - "generating new beliefs from old"
    - "constraint propagation with imprecise conditional probabilities"
    - "probabilistic description logics"
    - "a modification to evidential probability"
    - "probabilistic logic programming under inheritance with overriding"
    - "computing reference classes"
    - "from statistical knowledge bases to degrees of belief"
    - "what does a conditional knowledge base entail"

Connected through hyperedge HE-8 (induced by source paper "the lexicographic closure as a revision process"):
  with members:
    - "what does a conditional knowledge base entail"
    - "another perspective on default reasoning"
    - "nonmonotonic reasoning preferential models and cumulative logics"
    - "belief revision a critique"

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)