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 "Plausibility Measures and Default Reasoning"):
  Abstract: We introduce a new approach to modeling uncertainty based on plausibility measures. This approach is easily seen to generalize other approaches to modeling uncertainty, such as probability measures, belief functions, and possibility measures. We focus on one application of plausibility measures in this paper: default reasoning. In recent years, a number of different semantics for defaults have been proposed, such as preferential structures, *-semantics, possibilistic structures, and -rankings, that have been shown to be characterized by the same set of axioms, known as the KLM properties. While this was viewed as a surprise, we show here that it is almost inevitable. In the framework of plausibility measures, we can give a necessary condition for the KLM axioms to be sound, and an additional condition necessary and sufficient to ensure that the KLM axioms are complete. This additional condition is so weak that it is almost always met whenever the axioms are sound. In particular, it is easily seen to hold for all the proposals made in the literature.

Includes members:
  Member "On the Complexity of Conditional Logics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Updates and Counterfactuals")
  Member "Rank-based systems: A simple approach to belief revision, belief update, and reasoning about evidence and actions.":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "On the Complexity of Conditional Logics")
  Member "A Qualitative Markov Assumption and Its Implications for Belief Change":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Plausibility Measures: A User's Guide")
  Member "Plausibility Measures: A User's Guide":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "A Qualitative Markov Assumption and Its Implications for Belief Change")
  Member "Defining Relative Likelihood in Partially-Ordered Preferential Structures":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "On the Complexity of Conditional Logics")

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