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 "axiomatic foundations for a class of generalized expected utility algebraic expected utility"):
  Abstract: Expected Utility: Algebraic Expected Utility In this paper, we provide two axiomatizations of algebraic expected utility, which is a particular generalized expected utility, in a von Neumann-Morgenstern setting, i.e. uncertainty representation is supposed to be given and here to be described by a plausibility measure valued on a semiring, which could be partially ordered. We show that axioms identical to those for expected utility entail that preferences are represented by an algebraic expected utility. This algebraic approach allows many previous propositions (expected utility, binary possibilistic utility,...) to be unified in a same general framework and proves that the obtained utility enjoys the same nice features as expected utility: linearity, dynamic consistency, autoduality of the underlying uncertainty measure, autoduality of the decision criterion and possibility of modeling decision maker's attitude toward uncertainty.

Includes members:
  Member "an order of magnitude calculus":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a qualitative linear utility theory for spohn s theory of epistemic beliefs")
  Member "plausibility measures a user s guide":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "compact representations of extended causal models")
  Member "a qualitative linear utility theory for spohn s theory of epistemic beliefs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a comparison of axiomatic approaches to qualitative decision making using possibility theory")
  Member "a general non probabilistic theory of inductive reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "factored probabilistic belief tracking")
  Member "general belief measures":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a plausibility semantics for abstract argumentation frameworks")
  Member "a comparison of axiomatic approaches to qualitative decision making using possibility theory":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the complexity of decision making in possibilistic decision trees")
  Member "decision making for symbolic probability":
    also connected through other hyperedges:
      (none)
  Member "qualitative decision making under possibilistic uncertainty toward more discriminating criteria":
    also connected through other hyperedges:
      (none)

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)