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 "From Theory Refinement to KB Maintenance: a Position Statement"):
  Abstract: Since we consider theory refinement (TR) as a possible key concept for a methodologically clear view of knowledge-base maintenance, we try to give a structured overview about the actual state-of-the-art in TR. This overview is arranged along the description of TR as a search problem. We explain the basic approach, show the variety of existing systems and try to give some hints about the direction future research should go.

Includes members:
  Member "Theory Refinement Combining Analytical and Empirical Methods":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Automated Refinement of First-Order Horn-Clause Domain Theories")
  Member "Automated Refinement of First-Order Horn-Clause Domain Theories":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "LEARNING CONCEPTS BY ASKING QUESTIONS")
  Member "Multi-Strategy Learning and Theory Revision":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Tractability of Theory Patching")

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: Rule_Learning