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: "an Opportunistic Enterprise"
  Abstract: Tech Report GIT-COGSCI-97/04 Abstract This paper identifies goal handling processes that begin to account for the kind of processes involved in invention. We identify new kinds of goals with special properties and mechanisms for processing such goals, as well as means of integrating opportunism, deliberation, and social interaction into goal/plan processes. We focus on invention goals, which address significant enterprises associated with an inventor. Invention goals represent seed goals of an expert, around which the whole knowledge of an expert gets reorganized and grows more or less opportunistically. Invention goals reflect the idiosyncrasy of thematic goals among experts. They constantly increase the sensitivity of individuals for particular events that might contribute to their satisfaction. Our exploration is based on a well-documented example: the invention of the telephone by Alexander Graham Bell. We propose mechanisms to explain: (1) how Bell's early thematic goals gave rise to the new goals to invent the multiple telegraph and the telephone, and (2) how the new goals interacted opportunistically. Finally, we describe our computational model, ALEC, that accounts for the role of goals in invention.

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"
    - "Modeling Invention by Analogy in ACT-R"

Connected through hyperedge HE-2 (induced by source paper "CASE-BASED CREATIVE DESIGN"):
  with members:
    - "Understanding Creativity: A Case-Based Approach"
    - "Opportunistic Reasoning: A Design Perspective"
    - "Explaining Serendipitous Recognition in Design"
    - "Finding Analogues for Innovative Design"
    - "Integrating Creativity and Reading: A Functional Approach"
    - "Role of Ontology in Creative Understanding"
    - "A Functional Theory of Creative Reading"

Connected through hyperedge HE-3 (induced by source paper "The Use of Explicit Goals for Knowledge to Guide Inference and Learning"):
  with members:
    - "Opportunistic Reasoning: A Design Perspective"
    - "A theory of questions and question asking"
    - "INFERENTIAL THEORY OF LEARNING: Developing Foundations for Multistrategy Learning"
    - "A Functional Theory of Creative Reading"
    - "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"
    - "Case-Based Planning to Learn"
    - "A Goal-Based Approach to Intelligent Information Retrieval"

Connected through hyperedge HE-4 (induced by source paper "Learning Generic Mechanisms from Experiences for Analogical Reasoning"):
  with members:
    - "Generic Teleological Mechanisms and their Use in Case Adaptation"
    - "The Role of Generic Models in Conceptual Change"
    - "Discovery of Physical Principles from Design Experiences"
    - "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