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 "Task-Oriented Knowledge Acquisition and Reasoning for Design Support Systems"):
  Abstract: We present a framework for task-driven knowledge acquisition in the development of design support systems. Different types of knowledge that enter the knowledge base of a design support system are defined and illustrated both from a formal and from a knowledge acquisition vantage point. Special emphasis is placed on the task-structure, which is used to guide both acquisition and application of knowledge. Starting with knowledge for planning steps in design and augmenting this with problem-solving knowledge that supports design, a formal integrated model of knowledge for design is constructed. Based on the notion of knowledge acquisition as an incremental process we give an account of possibilities for problem solving depending on the knowledge that is at the disposal of the system. Finally, we depict how different kinds of knowledge interact in a design support system. ? This research was supported by the German Ministry for Research and Technology (BMFT) within the joint project FABEL under contract no. 413-4001-01IW104. Project partners in FABEL are German National Research Center of Computer Science (GMD), Sankt Augustin, BSR Consulting GmbH, Munchen, Technical University of Dresden, HTWK Leipzig, University of Freiburg, and University of Karlsruhe.

Includes members:
  Member "Conceptual Analogy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological")
  Member "Structural Similarity as Guidance in Case-Based Design":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Conceptual Analogy")
  Member "Towards Formalizations in Case-Based Reasoning for Synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Conceptual Analogy")
  Member "MAC/FAC: A Model of Similarity-based Retrieval":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Context-Based Similarity Applied to Retrieval of Relevant Cases")

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