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Authors: Guorui Jiang ; Xiaoyu Hu and Xiuzhen Feng

Affiliation: Beijing University of Technology, China

Keyword(s): Argumentation-based negotiation, Agent, Selecting arguments, Bayesian learning.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Negotiation and Interaction Protocols ; Soft Computing ; Symbolic Systems

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.

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 317-322. DOI: 10.5220/0002727603170322

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Jiang, G.
AU - Hu, X.
AU - Feng, X.
PY - 2010
SP - 317
EP - 322
DO - 10.5220/0002727603170322
PB - SciTePress