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 "managing inconsistent intelligence"):
  Abstract: In this paper we demonstrate that it is possible to manage intelligence in constant time as a pre-process to information fusion through a series of processes dealing with issues such as clustering reports, ranking reports with respect to importance, extraction of prototypes from clusters and immediate classification of newly arriving intelligence reports. These methods are used when intelligence reports arrive which concerns different events which should be handled independently, when it is not known a priori to which event each intelligence report is related. We use clustering that runs as a back-end process to partition the intelligence into subsets representing the events, and in parallel, a fast classification that runs as a front-end process in order to put the newly arriving intelligence into its correct information fusion process.

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 "finding a posterior domain probability distribution by specifying nonspecific evidence":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "conflict based force aggregation")
  Member "a neural network and iterative optimization hybrid for dempster shafer clustering":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "conflict based force aggregation")
  Member "on nonspecific evidence":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust report level cluster to track fusion")
  Member "creating prototypes for fast classification in dempster shafer clustering":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "conflict based force aggregation")
  Member "dempster shafer clustering using potts spin mean field theory":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "extremal optimization for sensor report pre processing")
  Member "cluster based specification techniques in dempster shafer theory":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "practical uses of belief functions")
  Member "specifying nonspecific evidence":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "robust report level cluster to track fusion")

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)