This paper presents a deliberative agent that incorporates a hybrid
system as a reasoning motor in the frame of CBR systems. To solve this
problem the agent incorporates neural networks to implement the stages of the
CBR system. Our agent can acquire knowledge and adapt itself to
environmental changes. The hybrid system has been applied for evaluating the
interaction between the atmosphere and the ocean. The system has been tested
successfully, and the results obtained are presented in this paper.