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: "A CBR Integration From Inception to Productization"
  Abstract: Our case-based reasoning (CBR) integration with the constraint satisfaction problem (CSP) formalism has undergone several transformations on its journey from initial research idea to product-intent design. Both unexpected research results as well as interesting insights into the real-world applicability of the integrated methodology emerged as the integration was explored from alternative viewpoints. In this paper, the alternative viewpoints and the results that were enabled by these viewpoints are described.

Connected through hyperedge HE-1 (induced by source paper "Dynamic Constraint Satisfaction using Case-Based Reasoning Techniques"):
  with members:
    - "Towards Improving Case Adaptability with a Genetic Algorithm"
    - "Towards A Computer Model of Memory Search Strategy Learning"
    - "Synergy and Commonality in Case-Based and Constraint-Based Reasoning"

Connected through hyperedge HE-2 (induced by source paper "Towards Improving Case Adaptability with a Genetic Algorithm"):
  with members:
    - "Learning to Improve Case Adaptation by Introspective Reasoning and CBR"
    - "Synergy and Commonality in Case-Based and Constraint-Based Reasoning"
    - "Dynamic Constraint Satisfaction using Case-Based Reasoning Techniques"

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