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 "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"):
  Abstract: The utility problem in learning systems occurs when knowledge learned in an attempt to improve a system's performance degrades performance instead. We present a methodology for the analysis of utility problems which uses computational models of problem solving systems to isolate the root causes of a utility problem, to detect the threshold conditions under which the problem will arise, and to design strategies to eliminate it. We present models of case-based reasoning and control-rule learning systems and compare their performance with respect to the swamping utility problem. Our analysis suggests that case-based reasoning systems are more resistant to the utility problem than control-rule learning systems. 1

Includes members:
  Member "AN EMPIRICAL APPROACH TO SOLVING THE GENERAL UTILITY PROBLEM IN SPEEDUP LEARNING":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Unifying Empirical and Explanation-Based Learning by Modeling the Utility of Learned Knowledge")
  Member "The Use of Explicit Goals for Knowledge to Guide Inference and Learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Opportunistic Reasoning: A Design Perspective")
  Member "Design and Implementation of a Replay Framework based on a Partial Order Planner":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Evaluating the Effectiveness of Derivation Replay in Partial-order vs State-space Planning")
  Member "An Explanation-Based Approach to Improve Retrieval in Case-Based Planning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Evaluating the Effectiveness of Derivation Replay in Partial-order vs State-space Planning")
  Member "A utility-based approach to learning in a mixed Case-Based and Model-Based Reasoning architecture":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "A Performance Model for Knowledge-based Systems")

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: Case_Based