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 "Introspective reasoning using meta-explanations for multistrategy learning"):
  Abstract: In order to learn effectively, a reasoner must not only possess knowledge about the world and be able to improve that knowledge, but it also must introspectively reason about how it performs a given task and what particular pieces of knowledge it needs to improve its performance at the current task. Introspection requires declarative representations of meta-knowledge of the reasoning performed by the system during the performance task, of the system's knowledge, and of the organization of this knowledge. This chapter presents a taxonomy of possible reasoning failures that can occur during a performance task, declarative representations of these failures, and associations between failures and particular learning strategies. The theory is based on Meta-XPs, which are explanation structures that help the system identify failure types, formulate learning goals, and choose appropriate learning strategies in order to avoid similar mistakes in the future. The theory is implemented in a computer model of an introspective reasoner that performs multistrategy learning during a story understanding task.

Includes members:
  Member "Modeling Case-based Planning for Repairing Reasoning Failures":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "BECOMING AN EXPERT CASE-BASED REASONER: LEARNING TO ADAPT PRIOR CASES")
  Member "Abstract":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Representing Self-knowledge for Introspection about Memory Search")
  Member "Integrating Creativity and Reading: A Functional Approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Role of Ontology in Creative Understanding")
  Member "Role of Ontology in Creative Understanding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Integrating Creativity and Reading: A Functional Approach")
  Member "Abstract":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases")
  Member "A Functional Theory of Creative Reading":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "CASE-BASED CREATIVE DESIGN")
  Member "Towards A Computer Model of Memory Search Strategy Learning":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "Dynamic Constraint Satisfaction using Case-Based Reasoning Techniques")
  Member "Issues in Goal-Driven Explanation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "Goal-Driven Learning: Fundamental Issues (A Symposium Report)")

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