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: "a logic for reasoning about upper probabilities"
  Abstract: We present a propositional logic to reason about the uncertainty of events, where the uncertainty is modeled by a set of probability measures assigning an interval of probability to each event. We give a sound and complete axiomatization for the logic, and show that the satisfiability problem is NP-complete, no harder than satisfiability for propositional logic.

Connected through hyperedge HE-1 (induced by source paper "weighted regret based likelihood a new approach to describing uncertainty"):
  with members:
    - "defining relative likelihood in partially ordered preferential structures"
    - "independence concepts for convex sets of probabilities"
    - "do we need higher order probabilities and if so what do they mean"
    - "calculating uncertainty intervals from conditional convex sets of probabilities"
    - "weighted sets of probabilities and minimaxweighted expected regret new approaches for representing uncertainty and making decisions"

Connected through hyperedge HE-2 (induced by source paper "the craft of model making pspace bounds for non iterative modal logics"):
  with members:
    - "reasoning about expectation"
    - "a sequent calculus and a theorem prover for standard conditional logics"
    - "pspace reasoning for graded modal logics"

Connected through hyperedge HE-3 (induced by source paper "characterizing and reasoning about probabilistic and non probabilistic expectation"):
  with members:
    - "reasoning about expectation"
    - "great expectations part ii generalized expected utility as a universal decision rule"
    - "great expectations part i on the customizability of generalized expected utility"

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)