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: "Evolving a Generalised Behaviour: Artificial Ant Problem Revisited"
  Abstract: This research aims to demonstrate that a solution for artificial ant problem [4] is very likely to be non-general and relying on the specific characteristics of the Santa Fe trail. It then presents a consistent method which promotes producing general solutions. Using the concepts of training and testing from machine learning research, the method can be useful in producing general behaviours for simulation environments.

Connected through hyperedge HE-1 (induced by source paper "Generality versus Size in Genetic Programming"):
  with members:
    - "Generalization in Reinforcement Learning: Safely Approximating the Value Function"
    - "Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding"
    - "Balancing Accuracy and Parsimony in Genetic Programming 1"
    - "Evolving Visual Routines"

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: Genetic_Algorithms