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: "Synergy and Commonality in Case-Based and Constraint-Based Reasoning"
  Abstract: Although Case-Based Reasoning (CBR) is a natural formulation for many problems, our previous work on CBR as applied to design made it apparent that there were elements of the CBR paradigm that prevented it from being more widely applied. At the same time, we were evaluating Constraint Satisfaction techniques for design, and found a commonality in motivation between repair-based constraint satisfaction problems (CSP) and case adaptation. This led us to combine the two methodologies in order to gain the advantages of CSP for case-based reasoning, allowing CBR to be more widely and flexibly applied. In combining the two methodologies, we found some unexpected synergy and commonality between the approaches. This paper describes the synergy and commonality that emerged as we combined case-based and constraint-based reasoning, and gives a brief overview of our continuing and future work on exploiting the emergent synergy when combining these reasoning modes.

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"
    - "A CBR Integration From Inception to Productization"

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"
    - "A CBR Integration From Inception to Productization"
    - "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