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: "Understanding Creativity: A Case-Based Approach"
  Abstract: Dissatisfaction with existing standard case-based reasoning (CBR) systems has prompted us to investigate how we can make these systems more creative and, more broadly, what would it mean for them to be more creative. This paper discusses three research goals: understanding creative processes better, investigating the role of cases and CBR in creative problem solving, and understanding the framework that supports this more interesting kind of case-based reasoning. In addition, it discusses methodological issues in the study of creativity and, in particular, the use of CBR as a research paradigm for exploring creativity.

Connected through hyperedge HE-1 (induced by source paper "CASE-BASED CREATIVE DESIGN"):
  with members:
    - "Opportunistic Reasoning: A Design Perspective"
    - "Explaining Serendipitous Recognition in Design"
    - "Finding Analogues for Innovative 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"
    - "Opportunistic Reasoning: A Design Perspective"
    - "Explaining Serendipitous Recognition in Design"
    - "Finding Analogues for Innovative Design"

Connected through hyperedge HE-3 (induced by source paper "Explaining Serendipitous Recognition in Design"):
  with members:
    - "Towards More Creative Case-Based Design Systems"
    - "Opportunistic Reasoning: A Design Perspective"
    - "CASE-BASED CREATIVE DESIGN"

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