RESEARCH ON THE BAYESIAN LEARNING MODEL FOR SELECTING ARGUMENTS ON ARGUMENTATION-BASED NEGOTIATION OF AGENT

Guorui Jiang, Xiaoyu Hu, Xiuzhen Feng

Abstract

In the Argumentation-based negotiation of agent, it is important to enhance the agent’s ability according to the environment, which would improve the argumentation efficiency significantly. Introducing Bayesian learning model to select arguments in Argumentation-based negotiation, the agent is able to learn and adjust itself according to a dynamic environment. This helps in making more rational and scientific choice for advancing efficiency of argumentation, when it is facing a variety of options for sending arguments. Finally, an example was presented for showing the rationality and validity of the model.

References

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Paper Citation


in Harvard Style

Jiang G., Hu X. and Feng X. (2010). RESEARCH ON THE BAYESIAN LEARNING MODEL FOR SELECTING ARGUMENTS ON ARGUMENTATION-BASED NEGOTIATION OF AGENT . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 317-322. DOI: 10.5220/0002727603170322


in Bibtex Style

@conference{icaart10,
author={Guorui Jiang and Xiaoyu Hu and Xiuzhen Feng},
title={RESEARCH ON THE BAYESIAN LEARNING MODEL FOR SELECTING ARGUMENTS ON ARGUMENTATION-BASED NEGOTIATION OF AGENT},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={317-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002727603170322},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - RESEARCH ON THE BAYESIAN LEARNING MODEL FOR SELECTING ARGUMENTS ON ARGUMENTATION-BASED NEGOTIATION OF AGENT
SN - 978-989-674-021-4
AU - Jiang G.
AU - Hu X.
AU - Feng X.
PY - 2010
SP - 317
EP - 322
DO - 10.5220/0002727603170322