Title :
Conversational system based on evolutionary agents
Author :
Moisa, Dr Trandafir ; Dediu, Adrian Horia ; Ontanu, Dan
Author_Institution :
Dept. of Comput. Sci. & Eng., Bucharest Univ., Romania
Abstract :
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
Keywords :
genetic algorithms; help systems; knowledge representation; neural nets; software agents; speech synthesis; speech-based user interfaces; collaborative knowledge management environment; conversational system; evolutionary agents; genetic algorithms; intelligent agent population; knowledge representation; multilingual text-to-speech engine; neural network models; speaking help agents; Collaboration; Engines; Fuzzy logic; Genetic algorithms; Humans; Intelligent agent; Knowledge representation; Natural languages; Neural networks; Speech synthesis;
Conference_Titel :
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-6375-2
DOI :
10.1109/CEC.2000.870327
