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: "Towards More Creative Case-Based Design Systems"
  Abstract: Case-based reasoning (CBR) has a great deal to offer in supporting creative design, particularly processes that rely heavily on previous design experience, such as framing the problem and evaluating design alternatives. However, most existing CBR systems are not living up to their potential. They tend to adapt and reuse old solutions in routine ways, producing robust but uninspired results. Little research effort has been directed towards the kinds of situation assessment, evaluation, and assimilation processes that facilitate the exploration of ideas and the elaboration and redefinition of problems that are crucial to creative design. Also, their typically rigid control structures do not facilitate the kinds of strategic control and opportunism inherent in creative reasoning. In this paper, we describe the types of behavior we would like case-based design systems to support, based on a study of designers working on a mechanical engineering problem. We show how the standard CBR framework should be extended and we describe an architecture we are developing to experiment with these ideas. 1

Connected through hyperedge HE-1 (induced by source paper "Understanding Creativity: A Case-Based Approach"):
  with members:
    - "Explaining Serendipitous Recognition in Design"
    - "CASE-BASED CREATIVE DESIGN"

Connected through hyperedge HE-2 (induced by source paper "Finding Analogues for Innovative Design"):
  with members:
    - "CASE-BASED CREATIVE DESIGN"
    - "An Investigation of Marker-Passing Algorithms for Analogue Retrieval"

Connected through hyperedge HE-3 (induced by source paper "Opportunistic Reasoning: A Design Perspective"):
  with members:
    - "Explaining Serendipitous Recognition in Design"
    - "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-4 (induced by source paper "Developing Case-Based Reasoning for Structural Design"):
  with members:
    - "Design by Interactive Exploration Using Memory-Based Techniques"

Connected through hyperedge HE-5 (induced by source paper "Explaining Serendipitous Recognition in Design"):
  with members:
    - "Understanding Creativity: A Case-Based Approach"
    - "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