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 "Distance Induction in First Order Logic used for classification via a k-nearest-neighbor process. Experiments on"):
  Abstract: This paper tackles the supervised induction of a distance from examples described as Horn clauses or constrained clauses. In opposition to syntax-driven approaches, this approach is discrimination-driven: it proceeds by defining a small set of complex discriminant hypotheses. These hypotheses serve as new concepts, used to redescribe the initial examples. Further, this redescription can be embedded into the space of natural integers, and a distance between examples thus naturally follows.

Includes members:
  Member "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "SaxEx a case-based reasoning system for generating expressive musical performances")
  Member "Rule Induction and Instance-Based Learning: A Unified Approach":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Inductive CBR for Customer Support")

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