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 "Proceedings of CogSci89 Structural Evaluation of Analogies: What Counts?"):
  Abstract: Judgments of similarity and soundness are important aspects of human analogical processing. This paper explores how these judgments can be modeled using SME, a simulation of Gentner's structure-mapping theory. We focus on structural evaluation, explicating several principles which psychologically plausible algorithms should follow. We introduce the Specificity Conjecture, which claims that naturalistic representations include a preponderance of appearance and low-order information. We demonstrate via computational experiments that this conjecture affects how structural evaluation should be performed, including the choice of normalization technique and how the systematicity preference is implemented.

Includes members:
  Member "The Structure-Mapping Engine: Algorithm and Examples":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Adapting Abstract Knowledge")
  Member "MAC/FAC: A Model of Similarity-based Retrieval":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Context-Based Similarity Applied to Retrieval of Relevant Cases")
  Member "Making SME greedy and pragmatic":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "MAC/FAC: A Model of Similarity-based Retrieval")

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