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 "a unified framework for order of magnitude confidence relations"):
  Abstract: The aim of this work is to provide a unified framework for ordinal representations of uncertainty lying at the crosswords between possibility and probability theories. Such confidence relations between events are commonly found in monotonic reasoning, inconsistency management, or qualitative decision theory. They start either from probability theory, making it more qualitative, or from possibility theory, making it more expressive. We show these two trends converge to a class of genuine probability theories. We provide characterization results for these useful tools that preserve the qualitative nature of possibility rankings, while enjoying the power of expressivity of additive representations.

Includes members:
  Member "defining relative likelihood in partially ordered preferential structures":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "weighted regret based likelihood a new approach to describing uncertainty")
  Member "generalized qualitative probability savage revisited":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "belief functions and default reasoning")
  Member "an order of magnitude calculus":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a qualitative linear utility theory for spohn s theory of epistemic beliefs")
  Member "on transformations between probability and spohnian disbelief functions":
    also connected through other hyperedges:
      (none)
  Member "from conditional oughts to qualitative decision theory":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a qualitative linear utility theory for spohn s theory of epistemic beliefs")
  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 "nonstandard numbers for qualitative decision making":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "expected qualitative utility maximization")
  Member "nonmonotonic reasoning preferential models and cumulative logics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (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)