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: "Discovery of Physical Principles from Design Experiences"
  Abstract: One method for making analogies is to access and instantiate abstract domain principles, and one method for acquiring knowledge of abstract principles is to discover them from experience. We view generalization over experiences in the absence of any prior knowledge of the target principle as the task of hypothesis formation, a subtask of discovery. Also, we view the use of the hypothesized principles for analogical design as the task of hypothesis testing, another subtask of discovery. In this paper, we focus on discovery of physical principles by generalization over design experiences in the domain of physical devices. Some important issues in generalization from experiences are what to generalize from an experience, how far to generalize, and what methods to use. We represent a reasoner's comprehension of specific designs in the form of structure-behavior-function (SBF) models. An SBF model provides a functional and causal explanation of the working of a device. We represent domain principles as device-independent behavior-function (BF) models. We show that (i) the function of a device determines what to generalize from its SBF model, (ii) the SBF model itself suggests how far to generalize, and (iii) the typology of functions indicates what method to use.

Connected through hyperedge HE-1 (induced by source paper "Use of Mental Models for Constraining Index Learning in Experience-Based Design"):
  with members:
    - "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM"
    - "Model-Based Learning of Structural Indices to Design Cases"

Connected through hyperedge HE-2 (induced by source paper "Generic Teleological Mechanisms and their Use in Case Adaptation"):
  with members:
    - "Modeling Case-based Planning for Repairing Reasoning Failures"
    - "A Model-Based Approach to Blame-Assignment in Design"
    - "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM"
    - "Model-Based Learning of Structural Indices to Design Cases"
    - "The Role of Generic Models in Conceptual Change"
    - "Learning Generic Mechanisms from Experiences for Analogical Reasoning"

Connected through hyperedge HE-3 (induced by source paper "Model-Based Learning of Structural Indices to Design Cases"):
  with members:
    - "Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases"
    - "Generic Teleological Mechanisms and their Use in Case Adaptation"
    - "Use of Mental Models for Constraining Index Learning in Experience-Based Design"
    - "Functional Representation as Design Rationale"

Connected through hyperedge HE-4 (induced by source paper "Learning Generic Mechanisms from Experiences for Analogical Reasoning"):
  with members:
    - "an Opportunistic Enterprise"
    - "Generic Teleological Mechanisms and their Use in Case Adaptation"
    - "The Role of Generic Models in Conceptual Change"
    - "Functional Representation as Design Rationale"
    - "Design, Analogy, and Creativity"

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