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: "The Evolution of Memory and Mental Models Using Genetic Programming build internal representations of their"
  Abstract: This paper applies genetic programming their successive actions. The results show to the evolution of intelligent agents that

Connected through hyperedge HE-1 (induced by source paper "Evolution of Mapmaking: Learning, planning, and memory using Genetic Programming"):
  with members:
    - "Evolution of Iteration in Genetic Programming D a v d A The solution to many"
    - "The Automatic Programming of Agents that Learn Mental Models and Create Simple Plans of Action"
    - "Stochastic Random or probabilistic but with some direction. For example the arrival of people at"
    - "learning easier tasks. More work is necessary in order to determine more precisely the relationship"
    - "Improving the Performance of Evolutionary Optimization by Dynamically Scaling the Evaluation Function"

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