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: "Planning in a Complex Real Domain"
  Abstract: Dimensions of complexity raised during the definition of a system aimed at supporting the planning of initial attack to forest fires are presented and discussed. The complexity deriving from the highly dynamic and unpredictable domain of forest fire, the one realated to the individuation and integration of planning techniques suitable to this domain, the complexity of addressing the problem of taking into account the role of the user to be supported by the system and finally the complexity of an architecture able to integrate different subsystems. In particular we focus on the severe constraints to the definition of a planning approach posed by the fire fighting domain, constraints which cannot be satisfied completely by any of the current planning paradigms. We propose an approach based on the integratation of skeletal planning and case based reasoning techniques with constraint reasoning. More specifically temporal constraints are used in two steps of the planning process: plan fitting and adaptation, and resource scheduling. Work on the development of the system software architecture with a OOD methodology is in progress.

Connected through hyperedge HE-1 (induced by source paper "CHARADE: a Platform for Emergencies Management Systems"):
  with members:
    - "An Interactive Planning Architecture The Forest Fire Fighting case"

Connected through hyperedge HE-2 (induced by source paper "An Interactive Planning Architecture The Forest Fire Fighting case"):
  with members:
    - "CHARADE: a Platform for Emergencies Management Systems"

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