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: "Non-Axiomatic Reasoning System (Version 2.2) used to show how the system works. The limitations of"
  Abstract: NARS uses a new form of term logic, or an extended syllogism, in which several types of uncertainties can be represented and processed, and in which deduction, induction, abduction, and revision are carried out in a unified format. The system works in an asynchronously parallel way. The memory of the system is dynamically organized, and can also be interpreted as a network.

Connected through hyperedge HE-1 (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"
    - "A Unified Treatment of Uncertainties"
    - "Heuristics and Normative Models of Judgment under Uncertainty"
    - "Reference Classes and Multiple Inheritances"
    - "A Defect in Dempster-Shafer Theory"
    - "A New Approach for Induction: From a Non-Axiomatic Logical Point of View"

Connected through hyperedge HE-2 (induced by source paper "Confidence as Higher Order Uncertainty proposed for handling higher order uncertainty, including the Bayesian approach,"):
  with members:
    - "Belief Revision in Probability Theory"
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "A Unified Treatment of Uncertainties"

Connected through hyperedge HE-3 (induced by source paper "Reference Classes and Multiple Inheritances"):
  with members:
    - "Belief Revision in Probability Theory"
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "Heuristics and Normative Models of Judgment under Uncertainty"
    - "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"
    - "Reference Classes and Multiple Inheritances"

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"
    - "Reference Classes and Multiple Inheritances"

Connected through hyperedge HE-6 (induced by source paper "A Unified Treatment of Uncertainties"):
  with members:
    - "Confidence as Higher Order Uncertainty proposed for handling higher order uncertainty, including the Bayesian approach,"
    - "Belief Revision in Probability Theory"
    - "From Inheritance Relation to Non-Axiomatic Logic"
    - "A Defect in Dempster-Shafer Theory"

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