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: "Explaining Serendipitous Recognition in Design"
  Abstract: Creative designers often see solutions to pending design problems in the everyday objects surrounding them. This can often lead to innovation and insight, sometimes revealing new functions and purposes for common design pieces in the process. We are interested in modeling serendipitous recognition of solutions to pending problems in the context of creative mechanical design. This paper characterizes this ability, analyzing observations we have made of it, and placing it in the context of other forms of recognition. We propose a computational model to capture and explore serendipitous recognition which is based on ideas from reconstructive dynamic memory and situation assessment in case-based reasoning.

Connected through hyperedge HE-1 (induced by source paper "Understanding Creativity: A Case-Based Approach"):
  with members:
    - "Towards More Creative Case-Based Design Systems"
    - "CASE-BASED CREATIVE DESIGN"

Connected through hyperedge HE-2 (induced by source paper "Opportunistic Reasoning: A Design Perspective"):
  with members:
    - "Towards More Creative Case-Based Design Systems"
    - "CASE-BASED CREATIVE DESIGN"
    - "The Use of Explicit Goals for Knowledge to Guide Inference and Learning"
    - "an Opportunistic Enterprise"
    - "Modeling Invention by Analogy in ACT-R"

Connected through hyperedge HE-3 (induced by source paper "CASE-BASED CREATIVE DESIGN"):
  with members:
    - "Understanding Creativity: A Case-Based Approach"
    - "Opportunistic Reasoning: A Design Perspective"
    - "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-4 (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"
    - "Finding Analogues for Innovative 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