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

Volume

1

fYear

2000

fDate

2000

Firstpage

424

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 2000. Proceedings of the 2000 Congress on

Conference_Location

La Jolla, CA

Print_ISBN

0-7803-6375-2

Type

conf

DOI

10.1109/CEC.2000.870327

Filename

870327