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 "introduction to the sp theory of intelligence"):
  Abstract: This article provides a brief introduction to the "Theory of Intelligence" and its realisation in the "SP Computer Model". The overall goal of the SP programme of research, in accordance with long-established principles in science, has been the simplification and integration of observations and concepts across artificial intelligence, mainstream computing, mathematics, and human learning, perception, and cognition. In broad terms, the SP system is a brain-like system that takes in "New" information through its senses and stores some or all of it as "Old" information. A central idea in the system is the powerful concept of "SP-multiple-alignment", borrowed and adapted from bioinformatics. This the key to the system's versatility in aspects of intelligence, in the representation of diverse kinds of knowledge, and in the seamless integration of diverse aspects of intelligence and diverse kinds of knowledge, in any combination. There are many potential benefits and applications of the SP system. It is envisaged that the system will be developed as the "SP Machine", which will initially be a software virtual machine, hosted on a high-performance computer, a vehicle for further research and a step towards the development of an industrial-strength SP Machine.

Includes members:
  Member "solutions to problems with deep learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")
  Member "software engineering and the sp theory of intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")
  Member "information compression multiple alignment and the representation and processing of knowledge in the brain":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")
  Member "the sp theory of intelligence distinctive features and advantages":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")
  Member "commonsense reasoning commonsense knowledge and the sp theory of intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")
  Member "deep learning in neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "π nets deep polynomial neural networks")
  Member "the sp theory of intelligence its distinctive features and advantages":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")
  Member "application of the sp theory of intelligence to the understanding of natural vision and the development of computer vision":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "interpreting winograd schemas via the sp theory of intelligence and its realisation in the sp computer model")

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)