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 "Conceptual Analogy"):
  Abstract: Conceptual analogy (CA) is an approach that integrates conceptualization, i.e., memory organization based on prior experiences and analogical reasoning (Borner 1994a). It was implemented prototypically and tested to support the design process in building engineering (Borner and Janetzko 1995, Borner 1995). There are a number of features that distinguish CA from standard approaches to CBR and AR. First of all, CA automatically extracts the knowledge needed to support design tasks (i.e., complex case representations, the relevance of object features and relations, and proper adaptations) from attribute-value representations of prior layouts. Secondly, it effectively determines the similarity of complex case representations in terms of adaptability. Thirdly, implemented and integrated into a highly interactive and adaptive system architecture it allows for incremental knowledge acquisition and user support. This paper surveys the basic assumptions and the psychological results which influenced the development of CA. It sketches the knowledge representation formalisms employed and characterizes the sub-processes needed to integrate memory organization and analogical reasoning.

Includes members:
  Member "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "SaxEx a case-based reasoning system for generating expressive musical performances")
  Member "Structural Similarity as Guidance in Case-Based Design":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Conceptual Analogy: Conceptual clustering for informed and efficient analogical reasoning")
  Member "Towards Formalizations in Case-Based Reasoning for Synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Structure oriented case retrieval")
  Member "Task-Oriented Knowledge Acquisition and Reasoning for Design Support Systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Structural Similarity as Guidance in Case-Based Design")

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