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 "solving multistage influence diagrams using branch and bound search"):
  Abstract: A branch-and-bound approach to solving influ- ence diagrams has been previously proposed in the literature, but appears to have never been implemented and evaluated - apparently due to the difficulties of computing effective bounds for the branch-and-bound search. In this paper, we describe how to efficiently compute effective bounds, and we develop a practical implementa- tion of depth-first branch-and-bound search for influence diagram evaluation that outperforms existing methods for solving influence diagrams with multiple stages.

Includes members:
  Member "probabilistic inference in influence diagrams":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "belief propagation for structured decision making")
  Member "from influence diagrams to junction trees":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a symbolic algebra for the computation of expected utilities in multiplicative influence diagrams")
  Member "an algorithm for finding minimum d separating sets in belief networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "separators and adjustment sets in causal graphs complete criteria and an algorithmic framework")
  Member "an anytime algorithm for decision making under uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "value of information in probabilistic logic programs")
  Member "evaluating influence diagrams with decision circuits":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep tractable probabilistic models for moral responsibility")
  Member "unconstrained influence diagrams":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "an algebraic graphical model for decision with uncertainties feasibilities and utilities")

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)