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: "Finding Analogues for Innovative Design"
  Abstract: Knowledge Systems Laboratory March 1995 Report No. KSL 95-32

Connected through hyperedge HE-1 (induced by source paper "CASE-BASED CREATIVE DESIGN"):
  with members:
    - "Understanding Creativity: A Case-Based Approach"
    - "Opportunistic Reasoning: A Design Perspective"
    - "Explaining Serendipitous Recognition in Design"
    - "Integrating Creativity and Reading: A Functional Approach"
    - "Role of Ontology in Creative Understanding"
    - "A Functional Theory of Creative Reading"
    - "an Opportunistic Enterprise"

Connected through hyperedge HE-2 (induced by source paper "Towards More Creative Case-Based Design Systems"):
  with members:
    - "Developing Case-Based Reasoning for Structural Design"
    - "Understanding Creativity: A Case-Based Approach"
    - "Opportunistic Reasoning: A Design Perspective"
    - "Explaining Serendipitous Recognition in Design"

Connected through hyperedge HE-3 (induced by source paper "An Investigation of Marker-Passing Algorithms for Analogue Retrieval"):
  with members:
    - "Preparing Case Retrieval Nets for Distributed Processing"
    - "Case Retrieval Nets: Basic Ideas and Extensions"
    - "Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains"

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