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 "Heuristics and Normative Models of Judgment under Uncertainty"):
  Abstract: Psychological evidence shows that probability theory is not a proper descriptive model of intuitive human judgment. Instead, some heuristics have been proposed as such a descriptive model. This paper argues that probability theory has limi tations even as a normative model. A new normative model of judgment under uncertainty is designed under the assumption that the system's knowledge and resources are insufficient with respect to the questions that the system needs to answer. The proposed heuristics in human reasoning can also be observed in this new model, and can be justified according to the assumption.

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 "Reference Classes and Multiple Inheritances":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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