Conversational system based on evolutionary agents

The system we are developing has been designed as an application of evolutionary agents and text-to-speech technologies. The final goal of our research is to create speaking help agents in a collaborative knowledge management environment. Our approach is based on genetic algorithms to create a population of intelligent agents and neural network models for knowledge representation. The multilingual text-to-speech engine we developed is also based on neural networks and is used to speak the messages delivered by help agents.