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 "medical diagnosis as pattern recognition in a framework of information compression by multiple alignment unification and search"):
  Abstract: This paper describes a novel approach to medical diagnosis based on the SP theory of computing and cognition. The main attractions of this approach are: a format for representing diseases that is simple and intuitive; an ability to cope with errors and uncertainties in diagnostic information; the simplicity of storing statistical information as frequencies of occurrence of diseases; a method for evaluating alternative diagnostic hypotheses that yields true probabilities; and a framework that should facilitate unsupervised learning of medical knowledge and the integration of medical diagnosis with other AI applications.

Includes members:
  Member "syntax parsing and production of natural language in a framework of information compression by multiple alignment unification and search":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "towards an intelligent database system founded on the sp theory of computing and cognition")
  Member "probabilistic reasoning as information compression by multiple alignment unification and search an introduction and overview":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "towards an intelligent database system founded on the sp theory of computing and cognition")
  Member "unsupervised grammar induction in a framework of information compression by multiple alignment unification and search":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards an intelligent database system founded on the sp theory of computing and cognition")
  Member "unsupervised learning in a framework of information compression by multiple alignment unification and search":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards an intelligent database system founded on the sp theory of computing and cognition")
  Member "computing as information compression by multiple alignment unification and search":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "towards an intelligent database system founded on the sp theory of computing and cognition")

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)