human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Computational Learning in Humans and Machines"):
  Abstract: In this paper we review research on machine learning and its relation to computational models of human learning. We focus initially on concept induction, examining five main approaches to this problem, then consider the more complex issue of learning sequential behaviors. After this, we compare the rhetoric that sometimes appears in the machine learning and psychological literature with the growing evidence that different theoretical paradigms typically produce similar results. In response, we suggest that concrete computational models, which currently dominate the field, may be less useful than simulations that operate at a more abstract level. We illustrate this point with an abstract simulation that explains a challenging phenomenon in the area of category learning, and we conclude with some general observations about such abstract models.

Includes members:
  Member "Learning Semantic Grammars with Constructive Inductive Logic Programming":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Combining FOIL and EBG to Speed-up Logic Programs")
  Member "An Analysis of Bayesian Classifiers (1988), involves the formulation of average-case models for specific algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Towards a Better Understanding of Memory-Based Reasoning Systems")
  Member "A Heuristic Approach to the Discovery of Macro-operators. Machine Learning, 3, 285-317. L e a":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Roles of Macro-Actions in Accelerating Reinforcement Learning")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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