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Authors: Diana Perez-Marín 1 and Ismael Pascual-Nieto 2

Affiliations: 1 Rey Juan Carlos University, Spain ; 2 Universidad Autónoma de Madrid, Spain

Keyword(s): Interactive Genetic Programming, Conversational Agent, Evolutionary Algorithm, Dialogue System, Natural Language Generation.

Abstract: Many of the existing conversational agents provide predefined answers. Therefore, the generated dialogue is quite similar for different users. Interactive genetic algorithms ask humans to provide fitness, rather than using a programmed function to compute it. This permits a better adjustment to the preferences and needs of each user. In this paper, a review of how interactive genetic algorithms can be used to provide more flexible and adaptable dialogues is presented.

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Paper citation in several formats:
Perez-Marín, D. and Pascual-Nieto, I. (2010). OVERVIEW OF INTERACTIVE GENETIC PROGRAMMING APPROACHES FOR CONVERSATIONAL AGENTS. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (ICAART 2010) - Volume 2: Special Session LAMAS; ISBN 978-989-674-022-1; ISSN 2184-433X, SciTePress, pages 359-366. DOI: 10.5220/0002769403590366

@conference{special session lamas10,
author={Diana Perez{-}Marín. and Ismael Pascual{-}Nieto.},
title={OVERVIEW OF INTERACTIVE GENETIC PROGRAMMING APPROACHES FOR CONVERSATIONAL AGENTS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (ICAART 2010) - Volume 2: Special Session LAMAS},
year={2010},
pages={359-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002769403590366},
isbn={978-989-674-022-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (ICAART 2010) - Volume 2: Special Session LAMAS
TI - OVERVIEW OF INTERACTIVE GENETIC PROGRAMMING APPROACHES FOR CONVERSATIONAL AGENTS
SN - 978-989-674-022-1
IS - 2184-433X
AU - Perez-Marín, D.
AU - Pascual-Nieto, I.
PY - 2010
SP - 359
EP - 366
DO - 10.5220/0002769403590366
PB - SciTePress

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