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 Model-Based Approach to Blame-Assignment in Design"
  Abstract: We analyze the blame-assignment task in the context of experience-based design and redesign of physical devices. We identify three types of blame-assignment tasks that differ in the types of information they take as input: the design does not achieve a desired behavior of the device, the design results in an undesirable behavior, a specific structural element in the design misbehaves. We then describe a model-based approach for solving the blame-assignment task. This approach uses structure-behavior-function models that capture a designer's comprehension of the way a device works in terms of causal explanations of how its structure results in its behaviors. We also address the issue of indexing the models in memory. We discuss how the three types of blame-assignment tasks require different types of indices for accessing the models. Finally we describe the KRITIK2 system that implements and evaluates this model-based approach to blame assignment.

Connected through hyperedge HE-1 (induced by source paper "Meta-Cases: Explaining Case-Based Reasoning"):
  with members:
    (none)

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"
    - "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"
    - "Discovery of Physical Principles from Design Experiences"

Connected through hyperedge HE-3 (induced by source paper "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM"):
  with members:
    - "METHOD-SPECIFIC KNOWLEDGE COMPILATION: TOWARDS PRACTICAL DESIGN SUPPORT SYSTEMS"
    - "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"
    - "Modeling Invention by Analogy in ACT-R"

Connected through hyperedge HE-4 (induced by source paper "METHOD-SPECIFIC KNOWLEDGE COMPILATION: TOWARDS PRACTICAL DESIGN SUPPORT SYSTEMS"):
  with members:
    - "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM"
    - "Rule Based Database Integration in HIPED Heterogeneous Intelligent Processing in Engineering Design"

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