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 "Tractability of Theory Patching"):
  Abstract: In this paper we consider the problem of theory patching, in which we are given a domain theory, some of whose components are indicated to be possibly flawed, and a set of labeled training examples for the domain concept. The theory patching problem is to revise only the indicated components of the theory, such that the resulting theory correctly classifies all the training examples. Theory patching is thus a type of theory revision in which revisions are made to individual components of the theory. Our concern in this paper is to determine for which classes of logical domain theories the theory patching problem is tractable. We consider both propositional and first-order domain theories, and show that the theory patching problem is equivalent to that of determining what information contained in a theory is stable regardless of what revisions might be performed to the theory. We show that determining stability is tractable if the input theory satisfies two conditions: that revisions to each theory component have monotonic effects on the classification of examples, and that theory components act independently in the classification of examples in the theory. We also show how the concepts introduced can be used to determine the soundness and completeness of particular theory patching algorithms.

Includes members:
  Member "Theory Refinement Combining Analytical and Empirical Methods":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Automated Refinement of First-Order Horn-Clause Domain Theories")
  Member "Bias-Driven Revision of Logical Domain Theories":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Comparing Methods for Refining Certainty-Factor Rule-Bases")
  Member "Multi-Strategy Learning and Theory Revision":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "From Theory Refinement to KB Maintenance: a Position Statement")

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: Theory