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: "Opportunistic Reasoning: A Design Perspective"
  Abstract: An essential component of opportunistic behavior is opportunity recognition, the recognition of those conditions that facilitate the pursuit of some suspended goal. Opportunity recognition is a special case of situation assessment, the process of sizing up a novel situation. The ability to recognize opportunities for reinstating suspended problem contexts (one way in which goals manifest themselves in design) is crucial to creative design. In order to deal with real world opportunity recognition, we attribute limited inferential power to relevant suspended goals. We propose that goals suspended in the working memory monitor the internal (hidden) representations of the currently recognized objects. A suspended goal is satisfied when the current internal representation and a suspended goal match. We propose a computational model for working memory and we compare it with other relevant theories of opportunistic planning. This working memory model is implemented as part of our IMPROVISER system.

Connected through hyperedge HE-1 (induced by source paper "CASE-BASED CREATIVE DESIGN"):
  with members:
    - "Understanding Creativity: A Case-Based Approach"
    - "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"
    - "an Opportunistic Enterprise"

Connected through hyperedge HE-2 (induced by source paper "The Use of Explicit Goals for Knowledge to Guide Inference and Learning"):
  with members:
    - "A theory of questions and question asking"
    - "INFERENTIAL THEORY OF LEARNING: Developing Foundations for Multistrategy Learning"
    - "A Functional Theory of Creative Reading"
    - "an Opportunistic Enterprise"
    - "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-3 (induced by source paper "Towards More Creative Case-Based Design Systems"):
  with members:
    - "Developing Case-Based Reasoning for Structural Design"
    - "Understanding Creativity: A Case-Based Approach"
    - "Explaining Serendipitous Recognition in Design"
    - "Finding Analogues for Innovative Design"

Connected through hyperedge HE-4 (induced by source paper "an Opportunistic Enterprise"):
  with members:
    - "CASE-BASED CREATIVE DESIGN"
    - "The Use of Explicit Goals for Knowledge to Guide Inference and Learning"
    - "Learning Generic Mechanisms from Experiences for Analogical Reasoning"

Connected through hyperedge HE-5 (induced by source paper "Modeling Invention by Analogy in ACT-R"):
  with members:
    - "KRITIK: AN EARLY CASE-BASED DESIGN SYSTEM"
    - "Creative Design: Reasoning and Understanding"

Connected through hyperedge HE-6 (induced by source paper "Explaining Serendipitous Recognition in Design"):
  with members:
    - "Towards More Creative Case-Based Design Systems"
    - "Understanding Creativity: A Case-Based Approach"
    - "CASE-BASED CREATIVE 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