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 "Defining Explanation in Probabilistic Systems"):
  Abstract: As probabilistic systems gain popularity and are coming into wider use, the need for a mechanism that explains the system's findings and recommendations becomes more critical. The system will also need a mechanism for ordering competing explanations. We examine two representative approaches to explanation in the literature one due to G ardenfors and one due to Pearland show that both suffer from significant problems. We propose an approach to defining a notion of better explanation that combines some of the features of both together with more recent work by Pearl and others on causality.

Includes members:
  Member "Causal diagrams for empirical research":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Causal Inference from Indirect Experiments")
  Member "Abduction as Belief Revision":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Explaining Predictions in Bayesian Networks and Influence Diagrams")
  Member "Explaining Predictions in Bayesian Networks and Influence Diagrams":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Abduction as Belief Revision")
  Member "Decision-Theoretic Foundations for Causal Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Causal diagrams for empirical research")

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