human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "(1994); Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Case-Based Reasoning: Foundational Issues, Methodological"):
  Abstract: Case-based reasoning is a recent approach to problem solving and learning that has got a lot of attention over the last few years. Originating in the US, the basic idea and underlying theories have spread to other continents, and we are now within a period of highly active research in case-based reasoning in Europe, as well. This paper gives an overview of the foundational issues related to case-based reasoning, describes some of the leading methodological approaches within the field, and exemplifies the current state through pointers to some systems. Initially, a general framework is defined, to which the subsequent descriptions and discussions will refer. The framework is influenced by recent methodologies for knowledge level descriptions of intelligent systems. The methods for case retrieval, reuse, solution testing, and learning are summarized, and their actual realization is discussed in the light of a few example systems that represent different CBR approaches. We also discuss the role of case-based methods as one type of reasoning and learning method within an integrated system architecture.

Includes members:
  Member "Using a Case Base of Surfaces to Speed-Up Reinforcement Learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming")
  Member "Computer-Supported Argumentation for Cooperative Design on the World-Wide Web":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Cooperative Case-Based Reasoning")
  Member "Lazy Acquisition of Place Knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Case-Based Acquisition of Place Knowledge")
  Member "Cooperative Bayesian and Case-Based Reasoning for Solving Multiagent Planning Tasks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Massively Parallel Case-Based Reasoning with Probabilistic Similarity Metrics")
  Member "SaxEx a case-based reasoning system for generating expressive musical performances":
    also connected through other hyperedges:
      (none)
  Member "Integration of Case-Based Reasoning and Neural Networks Approaches for Classification":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "GAL: Networks that grow when they learn and shrink when they forget")
  Member "Machine Learning: An Annotated Bibliography for the 1995 AI Statistics Tutorial on Machine Learning (Version 1)":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "Dynamic Automatic Model Selection")
  Member "NACODAE: Navy Conversational Decision Aids Environment":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "Refining Conversational Case Libraries")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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