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 "On the Usefulness of Re-using Diagnostic Solutions"):
  Abstract: Recent studies on planning, comparing plan re-use and plan generation, have shown that both the above tasks may have the same degree of computational complexity, even if we deal with very similar problems. The aim of this paper is to show that the same kind of results apply also for diagnosis. We propose a theoretical complexity analysis coupled with some experimental tests, intended to evaluate the adequacy of adaptation strategies which re-use the solutions of past diagnostic problems in order to build a solution to the problem to be solved. Results of such analysis show that, even if diagnosis re-use falls into the same complexity class of diagnosis generation (they are both NP-complete problems), practical advantages can be obtained by exploiting a hybrid architecture combining case-based and model-based diagnostic problem solving in a unifying framework.

Includes members:
  Member "Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Case Study of Case-Based CBR")
  Member "A utility-based approach to learning in a mixed Case-Based and Model-Based Reasoning architecture":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems")
  Member "ADAPtER: an Integrated Diagnostic System Combining Case-Based and Abductive Reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "A utility-based approach to learning in a mixed Case-Based and Model-Based Reasoning architecture")

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