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 "An Investigation of Marker-Passing Algorithms for Analogue Retrieval"):
  Abstract: If analogy and case-based reasoning systems are to scale up to very large case bases, it is important to analyze the various methods used for retrieving analogues to identify the features of the problem for which they are appropriate. This paper reports on one such analysis, a comparison of retrieval by marker passing or spreading activation in a semantic network with Knowledge-Directed Spreading Activation, a method developed to be well-suited for retrieving semantically distant analogues from a large knowledge base. The analysis has two complementary components: (1) a theoretical model of the retrieval time based on a number of problem characteristics, and (2) experiments showing how the retrieval time of the approaches varies with the knowledge base size. These two components, taken together, suggest that KDSA is more likely than SA to be able to scale up to retrieval in large knowledge bases.

Includes members:
  Member "Finding Analogues for Innovative Design":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "CASE-BASED CREATIVE DESIGN")
  Member "Preparing Case Retrieval Nets for Distributed Processing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological")
  Member "Case Retrieval Nets: Basic Ideas and Extensions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Preparing Case Retrieval Nets for Distributed Processing")
  Member "Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Preparing Case Retrieval Nets for Distributed Processing")

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