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 "Learning Indices for Schema Selection"):
  Abstract: In addition to learning new knowledge, a system must be able to learn when the knowledge is likely to be applicable. An index is a piece of information which, when identified in a given situation, triggers the relevant piece of knowledge (or schema) in the system's memory. We discuss the issue of how indices may be learned automatically in the context of a story understanding task, and present a program that can learn new indices for existing explanatory schemas. We discuss two methods using which the system can identify the relevant schema even if the input does not directly match an existing index, and learn a new index to allow it to retrieve this schema more efficiently in the future.

Includes members:
  Member "Decision Models: A Theory of Volitional Explanation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Using Introspective Reasoning to Select Learning Strategies")
  Member "Incremental Learning of Explanation Patterns and their Indices":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Using Introspective Reasoning to Select Learning Strategies")
  Member "Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Using Introspective Reasoning to Select Learning Strategies")

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