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: "Learning from Examples, Agent Teams and the Concept of Reflection"
  Abstract: In International Journal of Pattern Recognition and AI, 10(3):251-272, 1996 Also available as GMD report #766

Connected through hyperedge HE-1 (induced by source paper "Submitted to Circuits, Systems and Signal Processing Neural Network Constructive Algorithms: Trading Generalization for Learning Efficiency?"):
  with members:
    - "Hyperplane Dynamics as a Means to Understanding Back-Propagation Learning and Network Plasticity"
    - "Multiple Network Systems (Minos) Modules: Task Division and Module Discrimination 1"
    - "Rejection of Incorrect Answers from a Neural Net Classifier"

Connected through hyperedge HE-2 (induced by source paper "The Pandemonium System of Reflective Agents"):
  with members:
    - "Multiple Network Systems (Minos) Modules: Task Division and Module Discrimination 1"
    - "Comparison of Neural and Statistical Classifiers| Theory and Practice"

Connected through hyperedge HE-3 (induced by source paper "Multiple Network Systems (Minos) Modules: Task Division and Module Discrimination 1"):
  with members:
    - "Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex."
    - "The Pandemonium System of Reflective Agents"
    - "Submitted to Circuits, Systems and Signal Processing Neural Network Constructive Algorithms: Trading Generalization for Learning Efficiency?"

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: Neural_Networks