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 "A New Approach for Induction: From a Non-Axiomatic Logical Point of View"):
  Abstract: Non-Axiomatic Reasoning System (NARS) is designed to be a general-purpose intelligent reasoning system, which is adaptive and works under insufficient knowledge and resources. This paper focuses on the components of NARS that contribute to the system's induction capacity, and shows how the traditional problems in induction are addressed by the system. The NARS approach of induction uses an term-oriented formal language with an experience-grounded semantics that consistently interprets various types of uncertainty. An induction rule generates conclusions from common instance of terms, and a revision rule combines evidence from different sources. In NARS, induction and other types of inference, such as deduction and abduction, are based on the same semantic foundation, and they cooperate in inference activities of the system. The system's control mechanism makes knowledge-driven, context-dependent inference possible.

Includes members:
  Member "From Inheritance Relation to Non-Axiomatic Logic":
    also connected through other hyperedges:
      - Hyperedge HE-1 (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-2 (induced by source paper "From Inheritance Relation to Non-Axiomatic Logic")
  Member "Reference Classes and Multiple Inheritances":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Belief Revision in Probability Theory")

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