human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "Belief Revision in Probability Theory"):
  with members:
    - "Confidence as Higher Order Uncertainty proposed for handling higher order uncertainty, including the Bayesian approach,"
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "A Unified Treatment of Uncertainties"
    - "Heuristics and Normative Models of Judgment under Uncertainty"
    - "A Defect in Dempster-Shafer Theory"

Connected through hyperedge HE-2 (induced by source paper "From Inheritance Relation to Non-Axiomatic Logic"):
  with members:
    - "Confidence as Higher Order Uncertainty proposed for handling higher order uncertainty, including the Bayesian approach,"
    - "Belief Revision in Probability Theory"
    - "Non-Axiomatic Reasoning System (Version 2.2) used to show how the system works. The limitations of"
    - "A Unified Treatment of Uncertainties"
    - "Heuristics and Normative Models of Judgment under Uncertainty"
    - "A Defect in Dempster-Shafer Theory"
    - "A New Approach for Induction: From a Non-Axiomatic Logical Point of View"

Connected through hyperedge HE-3 (induced by source paper "Non-Axiomatic Reasoning System (Version 2.2) used to show how the system works. The limitations of"):
  with members:
    - "Confidence as Higher Order Uncertainty proposed for handling higher order uncertainty, including the Bayesian approach,"
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "A Unified Treatment of Uncertainties"
    - "Heuristics and Normative Models of Judgment under Uncertainty"
    - "A Defect in Dempster-Shafer Theory"
    - "A New Approach for Induction: From a Non-Axiomatic Logical Point of View"

Connected through hyperedge HE-4 (induced by source paper "A New Approach for Induction: From a Non-Axiomatic Logical Point of View"):
  with members:
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "Non-Axiomatic Reasoning System (Version 2.2) used to show how the system works. The limitations of"

Connected through hyperedge HE-5 (induced by source paper "Heuristics and Normative Models of Judgment under Uncertainty"):
  with members:
    - "Belief Revision in Probability Theory"
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "Non-Axiomatic Reasoning System (Version 2.2) used to show how the system works. The limitations of"

Question: Please tell me which class the center node 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