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: "A Performance Model for Knowledge-based Systems"
  Abstract: Most techniques for verification and validation are directed at functional properties of programs. However, other properties of programs are also essential. This paper describes a model for the average computing time of a KADS knowledge-based system based on its structure. An example taken from an existing knowledge-based system is used to demonstrate the use of the cost-model in designing the system.

Connected through hyperedge HE-1 (induced by source paper "A utility-based approach to learning in a mixed Case-Based and Model-Based Reasoning architecture"):
  with members:
    - "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"
    - "ADAPtER: an Integrated Diagnostic System Combining Case-Based and Abductive Reasoning"
    - "On the Usefulness of Re-using Diagnostic Solutions"

Connected through hyperedge HE-2 (induced by source paper "Redesigning control knowledge of knowledge-based systems: machine learning meets knowledge engineering"):
  with members:
    - "Learning Problem-Solving Concepts by Reflecting on Problem Solving"

Connected through hyperedge HE-3 (induced by source paper "Learning Control Knowledge in Models of Expertise ECML'95 Workshop on Knowledge-Level Modelling and Machine Learning"):
  with members:
    - "Problem Solving for Redesign"

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: Case_Based