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: "Constructive Belief and Rational Representation"
  Abstract: It is commonplace in artificial intelligence to divide an agent's explicit beliefs into two parts: the beliefs explicitly represented or manifest in memory, and the implicitly represented or constructive beliefs that are repeatedly reconstructed when needed rather than memorized. Many theories of knowledge view the relation between manifest and constructive beliefs as a logical relation, with the manifest beliefs representing the constructive beliefs through a logic of belief. This view, however, limits the ability of a theory to treat incomplete or inconsistent sets of beliefs in useful ways. We argue that a more illuminating view is that belief is the result of rational representation. In this theory, the agent obtains its constructive beliefs by using its manifest beliefs and preferences to rationally (in the sense of decision theory) choose the most useful conclusions indicated by the manifest beliefs.

Connected through hyperedge HE-1 (induced by source paper "Impediments to Universal Preference-Based Default Theories"):
  with members:
    - "Rationality and its Roles in Reasoning"

Connected through hyperedge HE-2 (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"
    - "Rationality and its Roles in Reasoning"
    - "Toward Rational Planning and Replanning Rational Reason Maintenance, Reasoning Economies, and Qualitative Preferences formal notions"

Connected through hyperedge HE-3 (induced by source paper "On Decision-Theoretic Foundations for Defaults"):
  with members:
    (none)

Connected through hyperedge HE-4 (induced by source paper "Rationality and its Roles in Reasoning"):
  with members:
    - "Rational Belief Revision (Preliminary Report)"
    - "Toward Rational Planning and Replanning Rational Reason Maintenance, Reasoning Economies, and Qualitative Preferences formal notions"
    - "Impediments to Universal Preference-Based Default Theories"

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