human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Applying Case-Based Reasoning to Control in Robotics"
  Abstract: The proposed architecture is experimentally evaluated on two real world domains and the results are compared to other machine learning algorithms applied to the same problem.

Connected through hyperedge HE-1 (induced by source paper "Context-Based Similarity Applied to Retrieval of Relevant Cases"):
  with members:
    - "INFERENTIAL THEORY OF LEARNING: Developing Foundations for Multistrategy Learning"
    - "Constructive Similarity Assessment: Using Stored Cases to Define New Situations"
    - "MAC/FAC: A Model of Similarity-based Retrieval"
    - "How to Retrieve Relevant Information?"
    - "A Similarity-Based Retrieval Tool for Software Repositories"

Connected through hyperedge HE-2 (induced by source paper "A Case-Based Reasoning Approach"):
  with members:
    - "Inductive Learning and Case-Based Reasoning"
    - "On the Informativeness of the DNA Promoter Sequences Domain Theory"
    - "A Similarity-Based Retrieval Tool for Software Repositories"

Question: Please tell me which class the center node 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