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: "A Computational Account of Movement Learning and its Impact on the Speed-Accuracy Tradeoff"
  Abstract: We present a computational model of movement skill learning. The types of skills addressed are a class of trajectory following movements involving multiple accelerations, decelerations and changes in direction and lasting more than a few seconds. These skills are acquired through observation and improved through practice. We also review the speed-accuracy tradeoff|one of the most robust phenomena in human motor behavior. We present two speed-accuracy tradeoff experiments where the model's performance fits human behavior quite well.

Connected through hyperedge HE-1 (induced by source paper "Learning to Classify Observed Motor Behavior"):
  with members:
    (none)

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: Case_Based