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: "Evaluating the Effectiveness of Derivation Replay in Partial-order vs State-space Planning"
  Abstract: Case-based planning involves storing individual instances of problem-solving episodes and using them to tackle new planning problems. This paper is concerned with derivation replay, which is the main component of a form of case-based planning called derivational analogy (DA). Prior to this study, implementations of derivation replay have been based within state-space planning. We are motivated by the acknowledged superiority of partial-order (PO) planners in plan generation. Here we demonstrate that plan-space planning also has an advantage in replay. We will argue that the decoupling of planning (derivation) order and the execution order of plan steps, provided by partial-order planners, enables them to exploit the guidance of previous cases in a more efficient and straightforward fashion. We validate our hypothesis through a focused empirical comparison.

Connected through hyperedge HE-1 (induced by source paper "An Explanation-Based Approach to Improve Retrieval in Case-Based Planning"):
  with members:
    - "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"
    - "Design and Implementation of a Replay Framework based on a Partial Order Planner"

Connected through hyperedge HE-2 (induced by source paper "Design and Implementation of a Replay Framework based on a Partial Order Planner"):
  with members:
    - "A Comparative Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems"
    - "An Explanation-Based Approach to Improve Retrieval in Case-Based Planning"

Connected through hyperedge HE-3 (induced by source paper "Merge Strategies for Multiple Case Plan Replay"):
  with members:
    - "Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning"
    - "Supporting Combined Human and Machine Planning: The Prodigy 4.0 User Interface Version 2.0*"

Connected through hyperedge HE-4 (induced by source paper "Storing and Indexing Plan Derivations through Explanation-based Analysis of Retrieval Failures"):
  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