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 "Reference Classes and Multiple Inheritances"):
  Abstract: The reference class problem in probability theory and the multiple inheritances (extensions) problem in non-monotonic logics can be referred to as special cases of conflicting beliefs. The current solution accepted in the two domains is the specificity priority principle. By analyzing an example, several factors (ignored by the principle) are found to be relevant to the priority of a reference class. A new approach, Non-Axiomatic Reasoning System (NARS), is discussed, where these factors are all taken into account. It is argued that the solution provided by NARS is better than the solutions provided by probability theory and non-monotonic logics.

Includes members:
  Member "Belief Revision in Probability Theory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "From Inheritance Relation to Non-Axiomatic Logic")
  Member "From Inheritance Relation to Non-Axiomatic Logic":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Belief Revision in Probability Theory")
  Member "Non-Axiomatic Reasoning System (Version 2.2) used to show how the system works. The limitations of":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "From Inheritance Relation to Non-Axiomatic Logic")
  Member "Heuristics and Normative Models of Judgment under Uncertainty":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Belief Revision in Probability Theory")
  Member "A New Approach for Induction: From a Non-Axiomatic Logical Point of View":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "From Inheritance Relation to Non-Axiomatic Logic")

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: Probabilistic_Methods