human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Design, Analogy, and Creativity"
  Abstract: :

Connected through hyperedge HE-1 (induced by source paper "The Structure-Mapping Engine: Algorithm and Examples"):
  with members:
    - "Utilizing Prior Concepts for Learning"
    - "The Case for Graph-Structured Representations"
    - "MAC/FAC: A Model of Similarity-based Retrieval"
    - "The Role of Generic Models in Conceptual Change"
    - "Adapting Abstract Knowledge"
    - "Role of Stories 1"
    - "Is analogical problem solving always analogical? The case for imitation. Second draft Is analogical problem"
    - "Functional Programming by Analogy"

Connected through hyperedge HE-2 (induced by source paper "Learning Generic Mechanisms from Experiences for Analogical Reasoning"):
  with members:
    - "an Opportunistic Enterprise"
    - "Generic Teleological Mechanisms and their Use in Case Adaptation"
    - "The Role of Generic Models in Conceptual Change"
    - "Discovery of Physical Principles from Design Experiences"
    - "Functional Representation as Design Rationale"

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Case_Based