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: "The case for cases: a call for purity in case-based reasoning inherently more difficult than"
  Abstract: A basic premise of case-based reasoning (CBR) is that it involves reasoning from cases, which are representations of real episodes, rather than from rules, which are facts and if then structures with no stated connection to any real episodes. In fact, most CBR systems do not reason directly from cases | rather they reason from abstractions or simplifications of cases. In this paper, we argue for "pure" case-based reasoning, i.e., reasoning from representations that are both concrete and reasonably complete. We claim that working from representations that satisfy these criteria We illustrate our argument with examples from three previous systems, chef, swale, and hypo, as well as from cookie, a CBR system being developed by the first author.

Connected through hyperedge HE-1 (induced by source paper "A Formal Analysis of Case Base Retrieval"):
  with members:
    - "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological"
    - "PAC Analyses of a `Similarity Learning' IBL Algorithm"
    - "Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics"
    - "Formalising the knowledge content of case memory systems"

Connected through hyperedge HE-2 (induced by source paper "The Case for Graph-Structured Representations"):
  with members:
    - "The Structure-Mapping Engine: Algorithm and Examples"
    - "Massively Parallel Support for Case-based Planning"
    - "Massively Parallel Matching of Knowledge Structures"

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