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: "a thorough formalization of conceptual spaces"
  Abstract: The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. Instances are represented by points in a high-dimensional space and concepts are represented by convex regions in this space. After pointing out a problem with the convexity requirement, we propose a formalization of conceptual spaces based on fuzzy star-shaped sets. Our formalization uses a parametric definition of concepts and extends the original framework by adding means to represent correlations between different domains in a geometric way. Moreover, we define computationally efficient operations on concepts (intersection, union, and projection onto a subspace) and show that these operations can support both learning and reasoning processes.

Connected through hyperedge HE-1 (induced by source paper "interacting conceptual spaces i grammatical composition of concepts"):
  with members:
    - "custom hypergraph categories via generalized relations"
    - "words concepts and the geometry of analogy"
    - "the frobenius anatomy of word meanings ii possessive relative pronouns"
    - "interacting conceptual spaces"
    - "graded entailment for compositional distributional semantics"
    - "open system categorical quantum semantics in natural language processing"
    - "reasoning about meaning in natural language with compact closed categories and frobenius algebras"
    - "the frobenius anatomy of word meanings i subject and object relative pronouns"

Connected through hyperedge HE-2 (induced by source paper "formalized conceptual spaces with a geometric representation of correlations"):
  with members:
    - "a comprehensive implementation of conceptual spaces"
    - "measuring relations between concepts in conceptual spaces"
    - "towards grounding conceptual spaces in neural representations"
    - "the size of a hyperball in a conceptual space"
    - "infogan interpretable representation learning by information maximizing generative adversarial nets"
    - "representation learning a review and new perspectives"
    - "the symbol grounding problem"

Connected through hyperedge HE-3 (induced by source paper "formal ways for measuring relations between concepts in conceptual spaces"):
  with members:
    - "measuring relations between concepts in conceptual spaces"
    - "interacting conceptual spaces"
    - "the symbol grounding problem"

Connected through hyperedge HE-4 (induced by source paper "a comprehensive implementation of conceptual spaces"):
  with members:
    - "measuring relations between concepts in conceptual spaces"
    - "the symbol grounding problem"

Connected through hyperedge HE-5 (induced by source paper "measuring relations between concepts in conceptual spaces"):
  with members:
    - "the symbol grounding problem"

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)