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: "Genes, Phenes and the Baldwin Effect: Learning and Evolution in a Simulated Population"
  Abstract: The Baldwin Effect, first proposed in the late nineteenth century, suggests that the course of evolutionary change can be influenced by individually learned behavior. The existence of this effect is still a hotly debated topic. In this paper clear evidence is presented that learning-based plasticity at the phenotypic level can and does produce directed changes at the genotypic level. This research confirms earlier experimental work done by others, notably Hinton & Nowlan (1987). Further, the amount of plasticity of the learned behavior is shown to be crucial to the size of the Baldwin Effect: either too little or too much and the effect disappears or is significantly reduced. Finally, for learnable traits, the case is made that over many generations it will become easier for the population as a whole to learn these traits (i.e. the phenotypic plasticity of these traits will increase). In this gradual transition from a genetically driven population to one driven by learning, the importance of the Baldwin Effect decreases.

Connected through hyperedge HE-1 (induced by source paper "Landscapes, Learning Costs and Genetic Assimilation."):
  with members:
    - "The Evolutionary Cost of Learning"
    - "EVOLVING SENSORS IN ENVIRONMENTS OF CONTROLLED COMPLEXITY"

Connected through hyperedge HE-2 (induced by source paper "On the relationship between distributed group-behaviour and the behavioural complexity of individuals [Wilson Sober 1994])"):
  with members:
    (none)

Connected through hyperedge HE-3 (induced by source paper "Culling Teaching -1 Culling and Teaching in Neuro-evolution"):
  with members:
    - "References elements that can solve difficult learning control problems. on Simulation of Adaptive Behavior, pages"
    - "Complexity Compression and Evolution"
    - "Cellular Encoding Applied to Neurocontrol"

Connected through hyperedge HE-4 (induced by source paper "Artificial Life as Theoretical Biology: How to do real science with computer simulation"):
  with members:
    - "Evolutionary wanderlust: Sexual selection with directional mate preferences.  Evolutionary wanderlust: Sexual selection with directional mate preferences"

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