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: "Induction and Recapitulation of Deep Musical Structure"
  Abstract: We describe recent extensions to our framework for the automatic generation of music-making programs. We have previously used genetic programming techniques to produce music-making programs that satisfy user-provided critical criteria. In this paper we describe new work on the use of connectionist techniques to automatically induce musical structure from a corpus. We show how the resulting neural networks can be used as critics that drive our genetic programming system. We argue that this framework can potentially support the induction and recapitulation of deep structural features of music. We present some initial results produced using neural and hybrid symbolic/neural critics, and we discuss directions for future work.

Connected through hyperedge HE-1 (induced by source paper "Automated Fitness Raters for the GP-Music System"):
  with members:
    - "GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters"

Connected through hyperedge HE-2 (induced by source paper "Evolution of Pseudo-colouring Algorithms for Image Enhancement with Interactive Genetic Programming"):
  with members:
    - "4 Implementing Application Specific Routines  Genetic algorithms in search, optimization, and machine learning. Reading, MA: Addison-Wesley."
    - "Evolving Visual Routines"
    - "Program Optimization for Faster Genetic Programming"
    - "Cellular Encoding for Interactive Evolutionary Robotics"
    - "Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming"

Connected through hyperedge HE-3 (induced by source paper "GP-Music: An Interactive Genetic Programming System for Music Generation with Automated Fitness Raters"):
  with members:
    - "Automated Fitness Raters for the GP-Music System"

Connected through hyperedge HE-4 (induced by source paper "Entailment for Specification Refinement"):
  with members:
    - "Strongly Typed Genetic Programming"
    - "Duplication of Coding Segments in Genetic Programming"
    - "Type Inheritance in Strongly Typed Genetic Programming"

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