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: "Modeling Invention by Analogy in ACT-R"
  Abstract: We investigate some aspects of cognition involved in invention, more precisely in the invention of the telephone by Alexander Graham Bell. We propose the use of the Structure-Behavior-Function (SBF) language for the representation of invention knowledge; we claim that because SBF has been shown to support a wide range of reasoning about physical devices, it constitutes a plausible account of how an inventor might represent knowledge of an invention. We further propose the use of the ACT-R architecture for the implementation of this model. ACT-R has been shown to very precisely model a wide range of human cognition. We draw upon the architecture for execution of productions and matching of declarative knowledge through spreading activation. Thus we present a model which combines the well-established cognitive validity of ACT-R with the powerful, specialized model-based reasoning methods facilitated by SBF.

Connected through hyperedge HE-1 (induced by source paper "Opportunistic Reasoning: A Design Perspective"):
  with members:
    - "Towards More Creative Case-Based Design Systems"
    - "Explaining Serendipitous Recognition in Design"
    - "CASE-BASED CREATIVE DESIGN"
    - "The Use of Explicit Goals for Knowledge to Guide Inference and Learning"
    - "an Opportunistic Enterprise"

Connected through hyperedge HE-2 (induced by source paper "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM"):
  with members:
    - "A Model-Based Approach to Blame-Assignment in Design"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "Creative Design: Reasoning and Understanding"):
  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