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 to Integrate Multiple Knowledge Sources for Case-Based Reasoning"):
  Abstract: The case-based reasoning process depends on multiple overlapping knowledge sources, each of which provides an opportunity for learning. Exploiting these opportunities requires not only determining the learning mechanisms to use for each individual knowledge source, but also how the different learning mechanisms interact and their combined utility. This paper presents a case study examining the relative contributions and costs involved in learning processes for three different knowledge sources|cases, case adaptation knowledge, and similarity information|in a case-based planner. It demonstrates the importance of interactions between different learning processes and identifies a promising method for integrating multiple learning methods to improve case-based reasoning.

Includes members:
  Member "Constructive Similarity Assessment: Using Stored Cases to Define New Situations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Context-Based Similarity Applied to Retrieval of Relevant Cases")
  Member "In Machine Learning: A Multistrategy Approach, Vol. IV  Macro and Micro Perspectives of Multistrategy Learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "21 Using n 2 classifier in constructive induction")
  Member "Acquiring Case Adaptation Knowledge: A Hybrid Approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A Case Study of Case-Based CBR")
  Member "Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "A Case Study of Case-Based CBR")
  Member "Case-Based Similarity Assessment: Estimating Adaptability from Experience":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "A Case Study of Case-Based CBR")
  Member "A Case Study of Case-Based CBR":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "Case-Based Learning: Beyond Classification of Feature Vectors")

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