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: "defining relative likelihood in partially ordered preferential structures"
  Abstract: Starting with a likelihood or preference order on worlds, we extend it to a likelihood ordering on sets of worlds in a natural way, and examine the resulting logic. Lewis (1973) earlier considered such a notion of relative likelihood in the context of studying counterfactuals, but he assumed a total preference order on worlds. Complications arise when examining partial orders that are not present for total orders. There are subtleties involving the exact approach to lifting the order on worlds to an order on sets of worlds. In addition, the axiomatization of the logic of relative likelihood in the case of partial orders gives insight into the connection between relative likelihood and default reasoning.

Connected through hyperedge HE-1 (induced by source paper "weighted regret based likelihood a new approach to describing uncertainty"):
  with members:
    - "a logic for reasoning about upper probabilities"
    - "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 "a unified framework for order of magnitude confidence relations"):
  with members:
    - "generalized qualitative probability savage revisited"
    - "an order of magnitude calculus"
    - "on transformations between probability and spohnian disbelief functions"
    - "from conditional oughts to qualitative decision theory"
    - "what does a conditional knowledge base entail"
    - "nonstandard numbers for qualitative decision making"
    - "nonmonotonic reasoning preferential models and cumulative logics"
    - "plausibility measures and default reasoning"

Connected through hyperedge HE-3 (induced by source paper "generic preferences over subsets of structured objects"):
  with members:
    - "graphical models for preference and utility"
    - "on graphical modeling of preference and importance"
    - "cp nets a tool for representing and reasoning with conditional ceteris paribus preference statements"
    - "nonmonotonic reasoning preferential models and cumulative logics"

Connected through hyperedge HE-4 (induced by source paper "prioritized repairing and consistent query answering in relational databases"):
  with members:
    - "data conflict resolution using trust mappings"
    - "consistent query answers in the presence of universal constraints"
    - "preferred answer sets for ordered logic programs"
    - "minimal change integrity maintenance using tuple deletions"

Connected through hyperedge HE-5 (induced by source paper "on the qualitative comparison of decisions having positive and negative features"):
  with members:
    - "generalized qualitative probability savage revisited"
    - "a unified framework for order of magnitude confidence relations"
    - "using arguments for making decisions a possibilistic logic approach"
    - "bi capacities part ii the choquet integral"
    - "graduality in argumentation"
    - "cp nets a tool for representing and reasoning with conditional ceteris paribus preference statements"

Connected through hyperedge HE-6 (induced by source paper "set theoretic completeness for epistemic and conditional logic"):
  with members:
    - "nonmonotonic reasoning preferential models and cumulative logics"
    - "plausibility measures and default reasoning"
    - "first order conditional logic revisited"

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)