human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Functional Representation as Design Rationale"):
  Abstract: Design rationale is a record of design activity: of alternatives available, choices made, the reasons for them, and explanations of how a proposed design is intended to work. We describe a representation called the Functional Representation (FR) that has been used to represent how a device's functions arise causally from the functions of its components and their interconnections. We propose that FR can provide the basis for capturing the causal aspects of the design rationale. We briefly discuss the use of FR for a number of tasks in which we would expect the design rationale to be useful: generation of diagnostic knowledge, design verification and redesign.

Includes members:
  Member "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Model-Based Approach to Blame-Assignment in Design")
  Member "Model-Based Learning of Structural Indices to Design Cases":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases")
  Member "Learning Generic Mechanisms from Experiences for Analogical Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "The Role of Generic Models in Conceptual Change")
  Member "EXPLANATORY INTERFACE IN INTERACTIVE DESIGN ENVIRONMENTS":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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