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 "Inductive Database Design"):
  Abstract: When designing a (deductive) database, the designer has to decide for each predicate (or relation) whether it should be defined extensionally or intensionally, and what the definition should look like. An intelligent system is presented to assist the designer in this task. It starts from an example database in which all predicates are defined extensionally. It then tries to compact the database by transforming extensionally defined predicates into intensionally defined ones. The intelligent system employs techniques from the area of inductive logic programming.

Includes members:
  Member "Dlab: A Declarative Language Bias Formalism":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Evaluation and Selection of Biases in Machine Learning")
  Member "Applications of a logical discovery engine":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Application of Clausal Discovery to Temporal Databases")
  Member "Learning with Abduction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "The ILP description learning problem: Towards a general model-level definition of data mining in ILP")

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