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 "Rank-based systems: A simple approach to belief revision, belief update, and reasoning about evidence and actions."):
  Abstract: We describe a ranked-model semantics for if-then rules admitting exceptions, which provides a coherent framework for many facets of evidential and causal reasoning. Rule priorities are automatically extracted form the knowledge base to facilitate the construction and retraction of plausible beliefs. To represent causation, the formalism incorporates the principle of Markov shielding which imposes a stratified set of independence constraints on rankings of interpretations. We show how this formalism resolves some classical problems associated with specificity, prediction and abduction, and how it offers a natural way of unifying belief revision, belief update, and reasoning about actions.

Includes members:
  Member "On the Complexity of Conditional Logics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Plausibility Measures and Default Reasoning")
  Member "Generalized Update: Belief Change in Dynamic Settings":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Iterated Revision and Minimal Change of Conditional Beliefs")
  Member "A Knowledge-Based Framework for Belief Change Part I: Foundations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "On the Complexity of Conditional Logics")
  Member "Abduction as Belief Revision":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Explaining Predictions in Bayesian Networks and Influence Diagrams")
  Member "Abduction to Plausible Causes: An Event-based Model of Belief Update":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "A Knowledge-Based Framework for Belief Change Part I: Foundations")
  Member "A Qualitative Markov Assumption and Its Implications for Belief Change":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "Plausibility Measures: A User's Guide")
  Member "Plausibility Measures: A User's Guide":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "Plausibility Measures and Default Reasoning")
  Member "Plausibility Measures and Default Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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