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: "Rationality and its Roles in Reasoning"
  Abstract: The economic theory of rationality promises to equal mathematical logic in its importance for the mechanization of reasoning. We survey the growing literature on how the basic notions of probability, utility, and rational choice, coupled with practical limitations on information and resources, influence the design and analysis of reasoning and representation systems.

Connected through hyperedge HE-1 (induced by source paper "Impediments to Universal Preference-Based Default Theories"):
  with members:
    - "Constructive Belief and Rational Representation"

Connected through hyperedge HE-2 (induced by source paper "Toward Rational Planning and Replanning Rational Reason Maintenance, Reasoning Economies, and Qualitative Preferences formal notions"):
  with members:
    - "Rational Belief Revision (Preliminary Report)"
    - "editors. Representing Preferences as Ceteris Paribus Comparatives"

Connected through hyperedge HE-3 (induced by source paper "Rational Belief Revision (Preliminary Report)"):
  with members:
    - "Rank-based systems: A simple approach to belief revision, belief update, and reasoning about evidence and actions."
    - "On the Semantics of Belief Revision Systems"
    - "Constructive Belief and Rational Representation"
    - "Toward Rational Planning and Replanning Rational Reason Maintenance, Reasoning Economies, and Qualitative Preferences formal notions"

Connected through hyperedge HE-4 (induced by source paper "Constructive Belief and Rational Representation"):
  with members:
    - "Rational Belief Revision (Preliminary Report)"
    - "Impediments to Universal Preference-Based Default Theories"
    - "On Decision-Theoretic Foundations for Defaults"

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