Genetic Programming for Task Selection in Dialogue Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{GonzalezPadilla:2010:CERMA,

• author = "Omar Alfrego {Gonzalez Padilla} and Felix Francisco {Ramos Corchado} and Jean-Paul Bartes",
• title = "Genetic Programming for Task Selection in Dialogue Systems",
• booktitle = "Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010",
• year = "2010",
• month = "28 " # sep # "-1 " # oct,
• pages = "180--184",
• abstract = "Natural language is too complex and ambiguous to be understood by a computer using currently known methods. However, in some cases natural language interfaces are possible because interaction is limited by the set of tasks the system can perform. In this context, when a user starts a dialog, the system tries to identify the intended task, which determines the course of the dialog. Modelling tasks in order to allow selecting one is labour intensive and may cause conflicts if the system performs many tasks. We propose using ripple down rules as a task selection mechanism, and genetic programming for automatic generation of such rules. Advantages of this approach are ease of generation and possibility to learn from user interaction. We tested the approach in a multi-agent system named OMAS, where agents interact with users using natural language.",
• keywords = "genetic algorithms, genetic programming, automatic generation, dialogue systems, multi-agent system, natural language interfaces, ripple down rules, task selection mechanism, user interaction, interactive systems, multi-agent systems, natural language interfaces",
• DOI = "doi:10.1109/CERMA.2010.30",
• notes = "Also known as \cite{5692333}",

}

Genetic Programming entries for Omar Alfredo Gonzalez Padilla Felix Francisco Ramos Corchado Jean-Paul Bartes

Citations