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 "evidential force aggregation"):
  Abstract: In this paper we develop an evidential force aggregation method intended for classification of evidential intelligence into recognized force structures. We assume that the intelligence has already been partitioned into clusters and use the classification method individually in each cluster. The classification is based on a measure of fitness between template and fused intelligence that makes it possible to handle intelligence reports with multiple nonspecific and uncertain propositions. With this measure we can aggregate on a level-by-level basis, starting from general intelligence to achieve a complete force structure with recognized units on all hierarchical levels.

Includes members:
  Member "practical uses of belief functions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "evidence updating for stream processing in big data robust conditioning in soft and hard fusion environments")
  Member "clustering belief functions based on attracting and conflicting metalevel evidence":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "robust report level cluster to track fusion")
  Member "reliable force aggregation using a refined evidence specification from dempster shafer clustering":
    also connected through other hyperedges:
      (none)
  Member "on nonspecific evidence":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "managing inconsistent intelligence")
  Member "conflict based force aggregation":
    also connected through other hyperedges:
      (none)
  Member "managing inconsistent intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust report level cluster to track fusion")
  Member "robust report level cluster to track fusion":
    also connected through other hyperedges:
      (none)
  Member "dempster shafer clustering using potts spin mean field theory":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "extremal optimization for sensor report pre processing")

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)