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: "problem formulation as the reduction of a decision model"
  Abstract: In this paper, we extend the QMRDT probabilistic model for the domain of internal medicine to include decisions about treatments. In addition, we describe how we can use the comprehensive decision model to construct a simpler decision model for a specific patient. In so doing, we transform the task of problem formulation to that of narrowing of a larger problem.

Connected through hyperedge HE-1 (induced by source paper "dynamic network updating techniques for diagnostic reasoning"):
  with members:
    - "a causal bayesian model for the diagnosis of appendicitis"
    - "model based influence diagrams for machine vision"
    - "ideal reformulation of belief networks"
    - "refinement and coarsening of bayesian networks"
    - "ideal a software package for analysis of influence diagrams"
    - "dynamic construction of belief networks"

Connected through hyperedge HE-2 (induced by source paper "probabilistic conceptual network a belief representation scheme for utility based categorization"):
  with members:
    - "reasoning about the value of decision model refinement methods and application"
    - "dynamic construction of belief networks"
    - "representing context sensitive knowledge in a network formalism a preliminary report"

Connected through hyperedge HE-3 (induced by source paper "graph grammar assistance for automated generation of influence diagrams"):
  with members:
    - "decision making using probabilistic inference methods"
    - "dynamic construction of belief networks"
    - "representing context sensitive knowledge in a network formalism a preliminary report"

Connected through hyperedge HE-4 (induced by source paper "time dependent utility and action under uncertainty"):
  with members:
    - "ideal reformulation of belief networks"

Connected through hyperedge HE-5 (induced by source paper "an approximate nonmyopic computation for value of information"):
  with members:
    - "a bayesian method for constructing bayesian belief networks from databases"

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)