Constructing Deliberative Agents Using a Hybrid System.

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